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		<title>How PayPal uses deep learning and detective work to fight fraud</title>
		<link>https://gigaom.com/2015/03/06/how-paypal-uses-deep-learning-and-detective-work-to-fight-fraud/</link>
		<comments>https://gigaom.com/2015/03/06/how-paypal-uses-deep-learning-and-detective-work-to-fight-fraud/#comments</comments>
		<pubDate>Fri, 06 Mar 2015 20:32:34 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[artificial intelligence]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[cybercrime]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Cybersecurity]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[deep learning]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Facebook]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[fraud]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Google]]></category>
		<category domain="https://search.gigaom.com/person/"><![CDATA[Hui Wang]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Internet fraud]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[machine-learning]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Microsoft]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[online payment platform]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Pattern recognition]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[paypal]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[paypal]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=919400</guid>
		<description><![CDATA[Hui Wang has seen the nature of online fraud change a lot in the 11 years she’s been at PayPal. In fact, a continuous evolution of methods is kind of the nature of cybercrime. As the good guys catch onto one approach, the bad guys try to avoid [&#8230;]<p>
	<a href="https://gigaom.com/2015/03/06/how-paypal-uses-deep-learning-and-detective-work-to-fight-fraud/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">How PayPal uses deep learning and detective work to fight fraud</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/03/06/how-paypal-uses-deep-learning-and-detective-work-to-fight-fraud/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=919400&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/03/06/how-paypal-uses-deep-learning-and-detective-work-to-fight-fraud/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
	
		<media:thumbnail url="https://gigaom2.files.wordpress.com/2015/03/shutterstock_76767721.jpg?quality=80&#38;strip=all&#38;w=150" />
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			<media:title type="html">fraud hand</media:title>
		</media:content>

		<media:content url="https://0.gravatar.com/avatar/9e48ffa0913f65c577727457dd63023f?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">dharrisstructure</media:title>
		</media:content>

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			<media:title type="html">How DeepFace sees Calista Flockhart. Source: Facebook</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/03/editfilters1.gif" medium="image">
			<media:title type="html">Some of PayPal&#039;s fraud-management options for developers.</media:title>
		</media:content>
	</item>
		<item>
		<title>FTC&#8217;s Brill sees consumer consent as key for health, finance apps</title>
		<link>https://gigaom.com/2015/03/06/ftcs-brill-sees-consumer-consent-as-key-for-health-finance-apps/</link>
		<comments>https://gigaom.com/2015/03/06/ftcs-brill-sees-consumer-consent-as-key-for-health-finance-apps/#comments</comments>
		<pubDate>Fri, 06 Mar 2015 14:30:15 +0000</pubDate>
		<dc:creator><![CDATA[Jeff John Roberts]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[big data]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[federal-trade-commission]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[federal-trade-commission]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[FTC]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[health apps]]></category>
		<category domain="https://search.gigaom.com/person/"><![CDATA[Julie Brill]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Julie Brill]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[privacy]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Structure Data 2015]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=918827</guid>
		<description><![CDATA[When normal people use a new app, they don’t wade through hidden service terms. Many just click “OK” and hope for the best. This might be fine for a game of Candy Crush, but it can be risky in the case of apps that monitor things like your bank account or [&#8230;]<p>
	<a href="https://gigaom.com/2015/03/06/ftcs-brill-sees-consumer-consent-as-key-for-health-finance-apps/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">FTC&#8217;s Brill sees consumer consent as key for health, finance apps</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/03/06/ftcs-brill-sees-consumer-consent-as-key-for-health-finance-apps/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=918827&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/03/06/ftcs-brill-sees-consumer-consent-as-key-for-health-finance-apps/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
	
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			<media:title type="html">Brill FCC</media:title>
		</media:content>

		<media:content url="https://0.gravatar.com/avatar/05dfcf765f1554b08954bb9e1ee63363?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">jeffjohnroberts</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/03/screen-shot-2015-03-04-at-2-18-11-pm.png?w=804" medium="image">
			<media:title type="html">ftc screenshot</media:title>
		</media:content>
	</item>
		<item>
		<title>Watch Hilary Mason discredit the cult of the algorithm</title>
		<link>https://gigaom.com/2015/03/05/watch-hilary-mason-discredit-the-cult-of-the-algorithm/</link>
		<comments>https://gigaom.com/2015/03/05/watch-hilary-mason-discredit-the-cult-of-the-algorithm/#comments</comments>
		<pubDate>Thu, 05 Mar 2015 20:15:17 +0000</pubDate>
		<dc:creator><![CDATA[Stacey Higginbotham]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[algorithm]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[computing]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[connected product]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Fast Forward Labs]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Google]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[internet of things]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[machine learning algorithm]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Nest]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[spam]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Structure Data 2015]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=918903</guid>
		<description><![CDATA[Want to see Hilary Mason, the CEO and founder at Fast Forward Labs, get fired up? Tell her about your new connected product and its machine learning algorithm that will help it anticipate your needs over time and behave accordingly. “That’s just a bunch of marketing bullshit,” [&#8230;]<p>
	<a href="https://gigaom.com/2015/03/05/watch-hilary-mason-discredit-the-cult-of-the-algorithm/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Watch Hilary Mason discredit the cult of the algorithm</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/03/05/watch-hilary-mason-discredit-the-cult-of-the-algorithm/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=918903&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/03/05/watch-hilary-mason-discredit-the-cult-of-the-algorithm/feed/</wfw:commentRss>
		<slash:comments>4</slash:comments>
	
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			<media:title type="html">Hilary Mason</media:title>
		</media:content>

		<media:content url="https://1.gravatar.com/avatar/aee37121e18bf76bb9fee4494bab237a?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">shigginbotham</media:title>
		</media:content>
	</item>
		<item>
		<title>Airbnb open sources SQL tool built on Facebook&#8217;s Presto database</title>
		<link>https://gigaom.com/2015/03/05/airbnb-open-sources-sql-tool-built-on-facebooks-presto-database/</link>
		<comments>https://gigaom.com/2015/03/05/airbnb-open-sources-sql-tool-built-on-facebooks-presto-database/#comments</comments>
		<pubDate>Thu, 05 Mar 2015 17:13:00 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Airbnb]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Airbnb]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Airpal]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Amazon]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[big data]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[data democratization]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[data science]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[data warehouse]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[database]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Facebook]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Facebook]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Google]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Hadoop]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[hive]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[open source]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Presto]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=919092</guid>
		<description><![CDATA[Apartment-sharing startup Airbnb has open sourced a tool called Airpal that the company built to give more of its employees access to the data they need for their jobs. Airpal is built atop the Presto SQL engine that Facebook created in order to speed access to data [&#8230;]<p>
	<a href="https://gigaom.com/2015/03/05/airbnb-open-sources-sql-tool-built-on-facebooks-presto-database/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Airbnb open sources SQL tool built on Facebook&#8217;s Presto database</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/03/05/airbnb-open-sources-sql-tool-built-on-facebooks-presto-database/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=919092&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/03/05/airbnb-open-sources-sql-tool-built-on-facebooks-presto-database/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
	
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		<media:content url="https://gigaom2.files.wordpress.com/2015/03/shutterstock_192065840.jpg?quality=80&#38;strip=all&#38;w=150" medium="image">
			<media:title type="html">more sql code</media:title>
		</media:content>

		<media:content url="https://0.gravatar.com/avatar/9e48ffa0913f65c577727457dd63023f?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">dharrisstructure</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/03/airpal3.jpg?quality=80&#38;strip=all" medium="image">
			<media:title type="html">The Airpal user interface.</media:title>
		</media:content>
	</item>
		<item>
		<title>New Relic drafts former Oracle exec to lead biz dev</title>
		<link>https://gigaom.com/2015/03/05/new-relic-drafts-former-oracle-exec-to-lead-biz-dev/</link>
		<comments>https://gigaom.com/2015/03/05/new-relic-drafts-former-oracle-exec-to-lead-biz-dev/#comments</comments>
		<pubDate>Thu, 05 Mar 2015 14:00:37 +0000</pubDate>
		<dc:creator><![CDATA[Barb Darrow]]></dc:creator>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Amazon]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[Amazon Web Services]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[application performance management]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[Application performance monitoring]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[application performance monitoring]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[application performance monitoring startup]]></category>
		<category domain="https://search.gigaom.com/person/"><![CDATA[John Gray]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[liveperson]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Microsoft]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[microsoft-azure]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[microsoft-azure]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[New Relic]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[New Relic]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Oracle]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Oracle]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=918968</guid>
		<description><![CDATA[New Relic has named John Gray, a former long-time channel exec for Oracle, as its new SVP of business development. Gray, who was most recently at LivePerson, brings long experience dealing with channel partners in the hotly contested enterprise software arena. New Relic, already a hit [&#8230;]<p>
	<a href="https://gigaom.com/2015/03/05/new-relic-drafts-former-oracle-exec-to-lead-biz-dev/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">New Relic drafts former Oracle exec to lead biz dev</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/03/05/new-relic-drafts-former-oracle-exec-to-lead-biz-dev/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=918968&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/03/05/new-relic-drafts-former-oracle-exec-to-lead-biz-dev/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
		<media:thumbnail url="https://gigaom2.files.wordpress.com/2015/03/john-gray_svp-business-development.jpg?quality=80&#38;strip=all&#38;w=150" />
		<media:content url="https://gigaom2.files.wordpress.com/2015/03/john-gray_svp-business-development.jpg?quality=80&#38;strip=all&#38;w=150" medium="image">
			<media:title type="html">John Gray, SVP Business Development for New Relic</media:title>
		</media:content>

		<media:content url="https://1.gravatar.com/avatar/4af03439988d64f816da72496325cb73?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">gigabarb</media:title>
		</media:content>
	</item>
		<item>
		<title>The Hadoop wars, HP cloud(s) and IBM&#8217;s big win</title>
		<link>https://gigaom.com/2015/03/05/the-hadoop-wars-hp-clouds-and-ibms-big-win/</link>
		<comments>https://gigaom.com/2015/03/05/the-hadoop-wars-hp-clouds-and-ibms-big-win/#comments</comments>
		<pubDate>Thu, 05 Mar 2015 09:39:09 +0000</pubDate>
		<dc:creator><![CDATA[Barb Darrow]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[AlchemyAPI]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[AlchemyAPI]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[big data]]></category>
		<category domain="https://search.gigaom.com/person/"><![CDATA[Bill Hilf]]></category>
		<category domain="https://search.gigaom.com/person/"><![CDATA[Chad Smith]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[Cloud Foundry]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Cloudera]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Cloudera]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Hadoop]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Hewlett-Packard]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Hewlett-Packard]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Hortonworks]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[HP]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[HP Cloud]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[HP Helion]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[IBM]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[IBM]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[machine-learning]]></category>
		<category domain="https://search.gigaom.com/person/"><![CDATA[Mike Rhodin]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[OpenStack]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Pivotal]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Structure Data]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Structure Show]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[The Structure Show]]></category>
		<category domain="https://search.gigaom.com/person/"><![CDATA[Tom Reilly]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[Watson]]></category>
		<category domain="https://search.gigaom.com/person/"><![CDATA[Will Ferrell]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=918831</guid>
		<description><![CDATA[If you are confused about Hewlett-Packard’s cloud plan of action, this week’s guest will lay it out for you. Bill Hilf, the SVP of Helion product management, makes his second appearance on the show (does that make him our Alec Baldwin?) to talk about HP’s many-clouds-one-management [&#8230;]<p>
	<a href="https://gigaom.com/2015/03/05/the-hadoop-wars-hp-clouds-and-ibms-big-win/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">The Hadoop wars, HP cloud(s) and IBM&#8217;s big win</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/03/05/the-hadoop-wars-hp-clouds-and-ibms-big-win/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
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		<wfw:commentRss>https://gigaom.com/2015/03/05/the-hadoop-wars-hp-clouds-and-ibms-big-win/feed/</wfw:commentRss>
		<slash:comments>3</slash:comments>
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			<media:title type="html">Structure show podcast</media:title>
		</media:content>

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			<media:title type="html">gigabarb</media:title>
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			<media:title type="html">Celebrity_ChadSmith_WillFerrell_cropped</media:title>
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		<item>
		<title>Data might be the new oil, but a lot of us just need gasoline</title>
		<link>https://gigaom.com/2015/03/04/data-might-be-the-new-oil-but-a-lot-of-us-just-need-gasoline/</link>
		<comments>https://gigaom.com/2015/03/04/data-might-be-the-new-oil-but-a-lot-of-us-just-need-gasoline/#comments</comments>
		<pubDate>Thu, 05 Mar 2015 01:25:13 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[big data]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[crowdflower]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[crowdflower]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[data democratization]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[data science]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Open Data]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=918929</guid>
		<description><![CDATA[One of the biggest tropes in the era of big data is that data is the new oil — it’s very valuable to the companies that have it, but only after it has been mined and processed. The analogy makes some sense, but it ignores the [&#8230;]<p>
	<a href="https://gigaom.com/2015/03/04/data-might-be-the-new-oil-but-a-lot-of-us-just-need-gasoline/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Data might be the new oil, but a lot of us just need gasoline</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/03/04/data-might-be-the-new-oil-but-a-lot-of-us-just-need-gasoline/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
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		<wfw:commentRss>https://gigaom.com/2015/03/04/data-might-be-the-new-oil-but-a-lot-of-us-just-need-gasoline/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
	
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			<media:title type="html">Hey industry - Oil refinery</media:title>
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		<media:content url="https://0.gravatar.com/avatar/9e48ffa0913f65c577727457dd63023f?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">dharrisstructure</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/03/dfe.jpg?quality=80&#38;strip=all" medium="image">
			<media:title type="html">An example of what&#039;s available in Data for Everyone.</media:title>
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		<item>
		<title>Stephen Wolfram writes nifty IoT data store for his nifty software stack</title>
		<link>https://gigaom.com/2015/03/04/stephan-wolfram-writes-nifty-iot-data-store-for-his-nifty-software-stack/</link>
		<comments>https://gigaom.com/2015/03/04/stephan-wolfram-writes-nifty-iot-data-store-for-his-nifty-software-stack/#comments</comments>
		<pubDate>Wed, 04 Mar 2015 23:58:55 +0000</pubDate>
		<dc:creator><![CDATA[Stacey Higginbotham]]></dc:creator>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Bug Labs]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Data]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[IBM]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[IBM&#039;s IoT Foundation]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[internet of things]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Stephen Wolfram]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Wolfram Alpha]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Wolfram Research]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=918811</guid>
		<description><![CDATA[One of the challenges associated with the internet of things is figuring out where to put all that data. If you have dozens of connected devices talking to the cloud (and that is a big if) you’ve got to think about where that data lives, how [&#8230;]<p>
	<a href="https://gigaom.com/2015/03/04/stephan-wolfram-writes-nifty-iot-data-store-for-his-nifty-software-stack/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Stephen Wolfram writes nifty IoT data store for his nifty software stack</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/03/04/stephan-wolfram-writes-nifty-iot-data-store-for-his-nifty-software-stack/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
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		<slash:comments>0</slash:comments>
	
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		<media:content url="https://gigaom2.files.wordpress.com/2014/05/shutterstock_122832445.jpg?quality=80&#38;strip=all&#38;w=150" medium="image">
			<media:title type="html">Data - generic</media:title>
		</media:content>

		<media:content url="https://1.gravatar.com/avatar/aee37121e18bf76bb9fee4494bab237a?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">shigginbotham</media:title>
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			<media:title type="html">accumulate-data-from-anywhere-wolfram-data-drop</media:title>
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			<media:title type="html">HEat maps created from pictures taken of Wolfram&#039;s office fish and then dropped into a databin.</media:title>
		</media:content>
	</item>
		<item>
		<title>IBM acquires deep learning startup AlchemyAPI</title>
		<link>https://gigaom.com/2015/03/04/ibm-acquires-deep-learning-startup-alchemyapi/</link>
		<comments>https://gigaom.com/2015/03/04/ibm-acquires-deep-learning-startup-alchemyapi/#comments</comments>
		<pubDate>Wed, 04 Mar 2015 16:15:56 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[AlchemyAPI]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[AlchemyAPI]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[artificial intelligence]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[cognitive computing]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[deep learning]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[IBM]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[ibm-watson]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[machine-learning]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Watson]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[Watson]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=918762</guid>
		<description><![CDATA[So much for AlchemyAPI CEO Elliot Turner’s statement that his company is not for sale. IBM has bought the Denver-based deep learning startup that delivers a wide variety of text analysis and image recognition capabilities via API. IBM plans to integrate AlchemyAPI’s technology into the core Watson [&#8230;]<p>
	<a href="https://gigaom.com/2015/03/04/ibm-acquires-deep-learning-startup-alchemyapi/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">IBM acquires deep learning startup AlchemyAPI</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/03/04/ibm-acquires-deep-learning-startup-alchemyapi/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
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		<wfw:commentRss>https://gigaom.com/2015/03/04/ibm-acquires-deep-learning-startup-alchemyapi/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
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		<media:content url="https://gigaom2.files.wordpress.com/2014/08/ibm_watson.png?w=150" medium="image">
			<media:title type="html">IBM Watson</media:title>
		</media:content>

		<media:content url="https://0.gravatar.com/avatar/9e48ffa0913f65c577727457dd63023f?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">dharrisstructure</media:title>
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		<media:content url="https://gigaom2.files.wordpress.com/2014/03/gold_turner_003.jpg?quality=80&#38;strip=all" medium="image">
			<media:title type="html">Elliot Turner — CEO, AlchemyAPI; Stephen Gold, Watson Solutions, IBM Software Group. Structure Data 2014</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/03/celebrity_chadsmith_willferrell_cropped-1.png" medium="image">
			<media:title type="html">celebrity_chadsmith_willferrell_cropped (1)</media:title>
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		<title>Cloudera CEO declares victory over big data competition</title>
		<link>https://gigaom.com/2015/03/03/cloudera-ceo-declares-victory-over-big-data-competition/</link>
		<comments>https://gigaom.com/2015/03/03/cloudera-ceo-declares-victory-over-big-data-competition/#comments</comments>
		<pubDate>Tue, 03 Mar 2015 20:51:18 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Altiscale]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[big data]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Cloudera]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Cloudera]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Goldman Sachs]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Hadoop]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Hortonworks]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Hortonworks]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[IBM]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Intel]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Lockheed Martin]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Mapr]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Mapr]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[open source]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Pivotal]]></category>
		<category domain="https://search.gigaom.com/person/"><![CDATA[Raymie Stata]]></category>
		<category domain="https://search.gigaom.com/person/"><![CDATA[Rob Bearden]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Spark]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Structure Data 2015]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Teradata]]></category>
		<category domain="https://search.gigaom.com/person/"><![CDATA[Tom Reilly]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=918411</guid>
		<description><![CDATA[Cloudera CEO Tom Reilly doesn’t often mince words when it comes to describing his competition in the Hadoop space, or Cloudera’s position among those other companies. In October 2013, Reilly told me he didn’t consider Hortonworks or MapR to be Cloudera’s real competition, but rather larger data-management [&#8230;]<p>
	<a href="https://gigaom.com/2015/03/03/cloudera-ceo-declares-victory-over-big-data-competition/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Cloudera CEO declares victory over big data competition</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/03/03/cloudera-ceo-declares-victory-over-big-data-competition/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
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		<wfw:commentRss>https://gigaom.com/2015/03/03/cloudera-ceo-declares-victory-over-big-data-competition/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
	
		<media:thumbnail url="https://gigaom2.files.wordpress.com/2014/03/reilly_001.jpg?quality=80&#38;strip=all&#38;w=150" />
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			<media:title type="html">Tom Reilly CEO Cloudera Gigaom Structure data 2014</media:title>
		</media:content>

		<media:content url="https://0.gravatar.com/avatar/9e48ffa0913f65c577727457dd63023f?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">dharrisstructure</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2014/12/010_gigaom_structure_data_2014.jpg?quality=80&#38;strip=all" medium="image">
			<media:title type="html">GIGAOM STRUCTURE DATA 2014</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2014/08/027_gigaom_structure_data_2014.jpg?quality=80&#38;strip=all" medium="image">
			<media:title type="html">Hortonworks CEO Rob Bearden at Structure Data 2014.</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2014/06/bryant_001.jpg?quality=80&#38;strip=all" medium="image">
			<media:title type="html">Diane Bryant, senior vice president and general manager of Intel&#039;s Data Center Group, at Structure 2014.</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/08/img_20140715_103028.jpg?quality=80&#38;strip=all" medium="image">
			<media:title type="html">Databricks CEO (and AMPLab co-director) Ion Stoica.</media:title>
		</media:content>
	</item>
		<item>
		<title>A look at Zeroth, Qualcomm’s effort to put AI in your smartphone</title>
		<link>https://gigaom.com/2015/03/03/a-look-at-zeroth-qualcomms-effort-to-put-ai-in-your-smartphone/</link>
		<comments>https://gigaom.com/2015/03/03/a-look-at-zeroth-qualcomms-effort-to-put-ai-in-your-smartphone/#comments</comments>
		<pubDate>Tue, 03 Mar 2015 15:08:09 +0000</pubDate>
		<dc:creator><![CDATA[Kevin Fitchard]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[artificial intelligence]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[cognitive computing]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[machine-learning]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Mobile World Congress]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[MWC]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[MWC 2015]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[neural networks]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[neural networks]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Qualcomm]]></category>
		<category domain="https://search.gigaom.com/person/"><![CDATA[Raj Talluri]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[Snapdragon]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Structure Data 2015]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[Zeroth]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=918382</guid>
		<description><![CDATA[What if your smartphone camera were smart enough to identify that the plate of clams and black beans appearing in its lens was actually food? What if it then automatically could make the necessary adjustments to take a decent picture of said dish in the low [&#8230;]<p>
	<a href="https://gigaom.com/2015/03/03/a-look-at-zeroth-qualcomms-effort-to-put-ai-in-your-smartphone/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">A look at Zeroth, Qualcomm’s effort to put AI in your smartphone</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/03/03/a-look-at-zeroth-qualcomms-effort-to-put-ai-in-your-smartphone/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=918382&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/03/03/a-look-at-zeroth-qualcomms-effort-to-put-ai-in-your-smartphone/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
		<media:thumbnail url="https://gigaom2.files.wordpress.com/2012/10/shutterstock_110381039.jpg?quality=80&#38;strip=all&#38;w=150" />
		<media:content url="https://gigaom2.files.wordpress.com/2012/10/shutterstock_110381039.jpg?quality=80&#38;strip=all&#38;w=150" medium="image">
			<media:title type="html">Smart tablet</media:title>
		</media:content>

		<media:content url="https://0.gravatar.com/avatar/0544c4b228f8fa80e31bb952501cd7a4?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">kfitchard</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/3014/07/mwc-2015-ticker.jpg?quality=80&#38;strip=all" medium="image">
			<media:title type="html">MWC-2015-ticker</media:title>
		</media:content>
	</item>
		<item>
		<title>Google, Stanford say big data is key to deep learning for drug discovery</title>
		<link>https://gigaom.com/2015/03/02/google-stanford-say-big-data-is-key-to-deep-learning-for-drug-discovery/</link>
		<comments>https://gigaom.com/2015/03/02/google-stanford-say-big-data-is-key-to-deep-learning-for-drug-discovery/#comments</comments>
		<pubDate>Mon, 02 Mar 2015 20:22:11 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[artificial intelligence]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Ayasdi]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[biotechnology]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Butterfly Network]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[deep learning]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[drug discovery]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Enlitic]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Google]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Google]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[IBM]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Lumiata]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[machine-learning]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[medical data]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[pharmaceutical industry]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Stanford]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Stanford University]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=918172</guid>
		<description><![CDATA[A team of researchers from Stanford University and Google have released a paper highlighting a deep learning approach they say shows promise in the field of drug discovery. What they found, essentially, is that that more data covering more biological processes seems like a good recipe for uncovering new drugs. Importantly, [&#8230;]<p>
	<a href="https://gigaom.com/2015/03/02/google-stanford-say-big-data-is-key-to-deep-learning-for-drug-discovery/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Google, Stanford say big data is key to deep learning for drug discovery</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/03/02/google-stanford-say-big-data-is-key-to-deep-learning-for-drug-discovery/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=918172&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/03/02/google-stanford-say-big-data-is-key-to-deep-learning-for-drug-discovery/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
		<media:thumbnail url="https://gigaom2.files.wordpress.com/2013/05/prescription-drugs.jpg?quality=80&#38;strip=all&#38;w=150" />
		<media:content url="https://gigaom2.files.wordpress.com/2013/05/prescription-drugs.jpg?quality=80&#38;strip=all&#38;w=150" medium="image">
			<media:title type="html">prescription drugs</media:title>
		</media:content>

		<media:content url="https://0.gravatar.com/avatar/9e48ffa0913f65c577727457dd63023f?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">dharrisstructure</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/03/vdd.png" medium="image">
			<media:title type="html">This graph shows a measure of prediction accuracy (ROC AUC is the area under the receiver operating characteristic curve) for virtual screening on a fixed set of 10 biological processes as more datasets are added.</media:title>
		</media:content>
	</item>
		<item>
		<title>Why you can&#8217;t program intelligent robots, but you can train them</title>
		<link>https://gigaom.com/2015/03/02/you-cant-program-intelligent-robots-but-you-can-train-them/</link>
		<comments>https://gigaom.com/2015/03/02/you-cant-program-intelligent-robots-but-you-can-train-them/#comments</comments>
		<pubDate>Mon, 02 Mar 2015 16:10:20 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[artificial intelligence]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Computer vision]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[machine-learning]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[natural language processing]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[robotics]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[robots]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Structure Data 2015]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=916526</guid>
		<description><![CDATA[If it feels like we’re in the midst of robot renaissance right now, perhaps it’s because we are. There is a new crop of robots under development that we’ll soon be able to buy and install in our factories or interact with in our homes. And [&#8230;]<p>
	<a href="https://gigaom.com/2015/03/02/you-cant-program-intelligent-robots-but-you-can-train-them/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Why you can&#8217;t program intelligent robots, but you <em>can</em> train them</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/03/02/you-cant-program-intelligent-robots-but-you-can-train-them/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=916526&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/03/02/you-cant-program-intelligent-robots-but-you-can-train-them/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
		<media:thumbnail url="https://gigaom2.files.wordpress.com/2015/01/mseeresearchers.png?w=150" />
		<media:content url="https://gigaom2.files.wordpress.com/2015/01/mseeresearchers.png?w=150" medium="image">
			<media:title type="html">Baxter robot cooking</media:title>
		</media:content>

		<media:content url="https://0.gravatar.com/avatar/9e48ffa0913f65c577727457dd63023f?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">dharrisstructure</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/03/robobrain.jpg?quality=80&#38;strip=all" medium="image">
			<media:title type="html">A collection of RoboBrain concepts.</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/03/tellmedave.jpg?quality=80&#38;strip=all" medium="image">
			<media:title type="html">The Tell Me Dave workflow.</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/03/braincorp.jpg?quality=80&#38;strip=all" medium="image">
			<media:title type="html">The Brain Corporation platform.</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/03/screenshot_2015-02-06-15-11-38-e1425312345774.png" medium="image">
			<media:title type="html">Part of the training process with Canary. The next step is telling the camera what its seeing.</media:title>
		</media:content>
	</item>
		<item>
		<title>In a data coup, Apical analyzes visual data without the video</title>
		<link>https://gigaom.com/2015/03/02/in-a-data-coup-apical-analyzes-visual-data-without-the-video/</link>
		<comments>https://gigaom.com/2015/03/02/in-a-data-coup-apical-analyzes-visual-data-without-the-video/#comments</comments>
		<pubDate>Mon, 02 Mar 2015 15:17:21 +0000</pubDate>
		<dc:creator><![CDATA[Stacey Higginbotham]]></dc:creator>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Apical]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Camera lens]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[data processing]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[IBM]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Nest]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[surveillance]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=917342</guid>
		<description><![CDATA[Apical, a company best known for the years of work it has spent contributing imaging tech to camera lenses inside smart phones and security cameras, has now devised a computer vision program for the smart home and business. The company calls its innovations Spirit and ART [&#8230;]<p>
	<a href="https://gigaom.com/2015/03/02/in-a-data-coup-apical-analyzes-visual-data-without-the-video/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">In a data coup, Apical analyzes visual data without the video</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/03/02/in-a-data-coup-apical-analyzes-visual-data-without-the-video/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=917342&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/03/02/in-a-data-coup-apical-analyzes-visual-data-without-the-video/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
	
		<media:thumbnail url="https://gigaom2.files.wordpress.com/2013/04/shutterstock_115060159.jpg?quality=80&#38;strip=all&#38;w=150" />
		<media:content url="https://gigaom2.files.wordpress.com/2013/04/shutterstock_115060159.jpg?quality=80&#38;strip=all&#38;w=150" medium="image">
			<media:title type="html">Privacy, eye, data</media:title>
		</media:content>

		<media:content url="https://1.gravatar.com/avatar/aee37121e18bf76bb9fee4494bab237a?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">shigginbotham</media:title>
		</media:content>
	</item>
		<item>
		<title>Russia&#8217;s Runa Capital invests $3.4M in database firm MariaDB</title>
		<link>https://gigaom.com/2015/02/26/russias-runa-capital-invests-3-4m-in-database-firm-mariadb/</link>
		<comments>https://gigaom.com/2015/02/26/russias-runa-capital-invests-3-4m-in-database-firm-mariadb/#comments</comments>
		<pubDate>Thu, 26 Feb 2015 21:00:49 +0000</pubDate>
		<dc:creator><![CDATA[David Meyer]]></dc:creator>
		<category domain="https://search.gigaom.com/company/"><![CDATA[jelastic]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[MariaDB]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[MariaDB]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[MySQL]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Nginx]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[open source]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Parallels]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Patrik Sallner]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Platform as a Service]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Russia]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=917345</guid>
		<description><![CDATA[Moscow-based Runa Capital has invested €3 million ($3.4 million) in MariaDB, the open-source database company that offers what began as a MySQL fork (Google and Wikipedia are big-name users). Runa, which is headed up by founders of Acronis and Parallels, is already a backer of the [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/26/russias-runa-capital-invests-3-4m-in-database-firm-mariadb/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Russia&#8217;s Runa Capital invests $3.4M in database firm MariaDB</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/02/26/russias-runa-capital-invests-3-4m-in-database-firm-mariadb/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=917345&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/26/russias-runa-capital-invests-3-4m-in-database-firm-mariadb/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
		<media:content url="https://0.gravatar.com/avatar/6599daccfd7e897e68744fe0065e5a2e?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">superglaze</media:title>
		</media:content>
	</item>
		<item>
		<title>Sponsored post: Think big. Solve tomorrow</title>
		<link>https://gigaom.com/2015/02/26/think-big-solve-tomorrow-3/</link>
		<comments>https://gigaom.com/2015/02/26/think-big-solve-tomorrow-3/#comments</comments>
		<pubDate>Thu, 26 Feb 2015 13:55:26 +0000</pubDate>
		<dc:creator><![CDATA[<a href="http://thinkbigcareers.teradata.com/" rel="author">Think Big</a>]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=916474</guid>
		<description><![CDATA[Are you a Data Engineer that has mentored and led software teams to victory? Can you manage clients to success? Do you want a bigger platform to speak from? Or are you a Data Scientist that thrives by helping your team execute data science solutions that deliver client value? Do [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/26/think-big-solve-tomorrow-3/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed"><span class="sponsor-title">Sponsored post:</span> Think big. Solve tomorrow</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/02/26/think-big-solve-tomorrow-3/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=916474&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/26/think-big-solve-tomorrow-3/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
		<media:thumbnail url="https://gigaom2.files.wordpress.com/2015/02/big_2000x1125.jpg?quality=80&#38;strip=all&#38;w=150" />
		<media:content url="https://gigaom2.files.wordpress.com/2015/02/big_2000x1125.jpg?quality=80&#38;strip=all&#38;w=150" medium="image">
			<media:title type="html">BIG_2000x1125</media:title>
		</media:content>

		<media:content url="https://1.gravatar.com/avatar/4286d92b867f9a8085800edd1d9c9b7f?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">kathyosweiler</media:title>
		</media:content>
	</item>
		<item>
		<title>Coolan lets companies pool and analyze hardware data</title>
		<link>https://gigaom.com/2015/02/25/coolan-lets-companies-pool-and-analyze-hardware-data/</link>
		<comments>https://gigaom.com/2015/02/25/coolan-lets-companies-pool-and-analyze-hardware-data/#comments</comments>
		<pubDate>Wed, 25 Feb 2015 18:00:59 +0000</pubDate>
		<dc:creator><![CDATA[Jonathan Vanian]]></dc:creator>
		<category domain="https://search.gigaom.com/person/"><![CDATA[Amir Michael]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[cloud-infrastructure]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[computing]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[data center]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[device manufacturer]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Facebook]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Google]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[hardware]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[hardware failure]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[IT monitoring]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=917015</guid>
		<description><![CDATA[A common dilemma facing many companies that have a ton of gear in their data centers is having to figure out which hardware appliance is causing bottlenecks that may cause downtime and customer outrage. Coolan, a startup formed by former Facebook and Google engineers, aims to [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/25/coolan-lets-companies-pool-and-analyze-hardware-data/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Coolan lets companies pool and analyze hardware data</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/02/25/coolan-lets-companies-pool-and-analyze-hardware-data/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
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		<wfw:commentRss>https://gigaom.com/2015/02/25/coolan-lets-companies-pool-and-analyze-hardware-data/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
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			<media:title type="html">GE Data Center</media:title>
		</media:content>

		<media:content url="https://2.gravatar.com/avatar/b36be2d5adab11bf46c8d1d7e6c34342?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">jonathanvanian</media:title>
		</media:content>

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			<media:title type="html">Screenshot of failure rate</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/02/screenshot-of-notification-report.jpg?quality=80&#38;strip=all&#38;w=804" medium="image">
			<media:title type="html">Screenshot of notification report</media:title>
		</media:content>

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			<media:title type="html">Coolan CEO Amir Michael</media:title>
		</media:content>
	</item>
		<item>
		<title>Hortonworks did $12.7M in Q4, on its path to a billion, CEO says</title>
		<link>https://gigaom.com/2015/02/24/hortonworks-did-12-5m-in-q4-on-its-path-to-a-billion-ceo-says/</link>
		<comments>https://gigaom.com/2015/02/24/hortonworks-did-12-5m-in-q4-on-its-path-to-a-billion-ceo-says/#comments</comments>
		<pubDate>Tue, 24 Feb 2015 22:34:46 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[big data]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Cloudera]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[GE]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Hadoop]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Hortonworks]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Hortonworks]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[IBM]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Mapr]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Microsoft]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[open source]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Rackspace]]></category>
		<category domain="https://search.gigaom.com/person/"><![CDATA[Rob Bearden]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Structure Data 2015]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=916897</guid>
		<description><![CDATA[Hadoop vendor Hortonworks announced its first quarterly earnings as a publicly held company Tuesday, claiming $12.7 million in fourth-quarter revenue and $46 million in revenue during fiscal year 2014. The numbers represent 55 percent quarter-over-quarter and 91 percent year-over-year increases, respectively. The company had a net [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/24/hortonworks-did-12-5m-in-q4-on-its-path-to-a-billion-ceo-says/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Hortonworks did $12.7M in Q4, on its path to a billion, CEO says</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/02/24/hortonworks-did-12-5m-in-q4-on-its-path-to-a-billion-ceo-says/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=916897&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/24/hortonworks-did-12-5m-in-q4-on-its-path-to-a-billion-ceo-says/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
	
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			<media:title type="html">nasdaqhdp</media:title>
		</media:content>

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			<media:title type="html">dharrisstructure</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2014/08/027_gigaom_structure_data_2014.jpg?quality=80&#38;strip=all" medium="image">
			<media:title type="html">Rob Bearden</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2014/03/maritz_malik_001.jpg?quality=80&#38;strip=all" medium="image">
			<media:title type="html">Pivotal CEO Paul Maritz at Structure Data 2014.</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2014/10/microsoft-linux-satya-nadella.jpg?quality=80&#38;strip=all" medium="image">
			<media:title type="html">Microsoft CEO Satya Nadella speaks at a Microsoft cloud event. Photo by Jonathan Vanian/Gigaom</media:title>
		</media:content>
	</item>
		<item>
		<title>Advertising analytics platform Metamarkets raises another $15M</title>
		<link>https://gigaom.com/2015/02/24/advertising-analytics-platform-metamarkets-raises-another-15m/</link>
		<comments>https://gigaom.com/2015/02/24/advertising-analytics-platform-metamarkets-raises-another-15m/#comments</comments>
		<pubDate>Tue, 24 Feb 2015 16:08:05 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[big data]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Druid]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Metamarkets]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Metamarkets]]></category>
		<category domain="https://search.gigaom.com/person/"><![CDATA[Mike Driscoll]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[open source]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[real-time data]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[streaming data]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=916805</guid>
		<description><![CDATA[Metamarkets, a San Francisco startup providing streaming analytics to advertisers, has raised a $15 million round of venture capital. Data Collective led the round, which also included John Battelle and City National Bank and existing investors Khosla Ventures, IA Ventures, True Ventures and Village Ventures. Metamarkets (see [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/24/advertising-analytics-platform-metamarkets-raises-another-15m/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Advertising analytics platform Metamarkets raises another $15M</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/02/24/advertising-analytics-platform-metamarkets-raises-another-15m/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=916805&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/24/advertising-analytics-platform-metamarkets-raises-another-15m/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
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			<media:title type="html">Operational-Awareness</media:title>
		</media:content>

		<media:content url="https://0.gravatar.com/avatar/9e48ffa0913f65c577727457dd63023f?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">dharrisstructure</media:title>
		</media:content>
	</item>
		<item>
		<title>Kubernetes comes to OpenStack this time thanks to Mirantis</title>
		<link>https://gigaom.com/2015/02/24/kubernetes-comes-to-openstack-this-time-thanks-to-mirantis/</link>
		<comments>https://gigaom.com/2015/02/24/kubernetes-comes-to-openstack-this-time-thanks-to-mirantis/#comments</comments>
		<pubDate>Tue, 24 Feb 2015 16:00:11 +0000</pubDate>
		<dc:creator><![CDATA[Barb Darrow]]></dc:creator>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Amazon]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Amazon Web Services]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[Amazon Web Services]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[Azure]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[container management]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[container management]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[containers]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Docker]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[Docker]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Google]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Google]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Google Cloud]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Google Cloud Platform]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[Google Container Engine]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[Helion]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Hewlett-Packard]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[HP]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[Kubernetes]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Kubernetes]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Microsoft]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[microsoft-azure]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Mirantis]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Mirantis]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[OpenStack]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[OpenStack]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=916694</guid>
		<description><![CDATA[For businesses wanting to run the Kubernetes cluster management framework for containers on OpenStack clouds, Google and Mirantis have teamed up to make that happen more easily. The OpenStack Murano application catalog technology promises to ease deployment of Kubernetes clusters on OpenStack and then deploy Docker containers on those clusters. Murano [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/24/kubernetes-comes-to-openstack-this-time-thanks-to-mirantis/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Kubernetes comes to OpenStack this time thanks to Mirantis</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/02/24/kubernetes-comes-to-openstack-this-time-thanks-to-mirantis/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=916694&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/24/kubernetes-comes-to-openstack-this-time-thanks-to-mirantis/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
	
		<media:thumbnail url="https://gigaom2.files.wordpress.com/2014/11/mirantis-ceo-adrian-ionel.jpg?quality=80&#38;strip=all&#38;w=150" />
		<media:content url="https://gigaom2.files.wordpress.com/2014/11/mirantis-ceo-adrian-ionel.jpg?quality=80&#38;strip=all&#38;w=150" medium="image">
			<media:title type="html">Mirantis CEO Adrian Ionel</media:title>
		</media:content>

		<media:content url="https://1.gravatar.com/avatar/4af03439988d64f816da72496325cb73?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">gigabarb</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/02/kubernetes-openstack.jpg?quality=80&#38;strip=all" medium="image">
			<media:title type="html">kubernetes openstack</media:title>
		</media:content>
	</item>
		<item>
		<title>Sponsored post: Think big. Solve tomorrow</title>
		<link>https://gigaom.com/2015/02/24/think-big-solve-tomorrow-2/</link>
		<comments>https://gigaom.com/2015/02/24/think-big-solve-tomorrow-2/#comments</comments>
		<pubDate>Tue, 24 Feb 2015 13:55:02 +0000</pubDate>
		<dc:creator><![CDATA[<a href="http://thinkbigcareers.teradata.com/" rel="author">Think Big</a>]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=916346</guid>
		<description><![CDATA[Are you a Data Engineer that has mentored and led software teams to victory? Can you manage clients to success? Do you want a bigger platform to speak from? Or are you a Data Scientist that thrives by helping your team execute data science solutions that [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/24/think-big-solve-tomorrow-2/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed"><span class="sponsor-title">Sponsored post:</span> Think big. Solve tomorrow</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/02/24/think-big-solve-tomorrow-2/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=916346&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/24/think-big-solve-tomorrow-2/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
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			<media:title type="html">BIG_2000x1125</media:title>
		</media:content>

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			<media:title type="html">kathyosweiler</media:title>
		</media:content>
	</item>
		<item>
		<title>Evrythng partners with Gooee in LED internet of things push</title>
		<link>https://gigaom.com/2015/02/24/evrythng-partners-with-gooee-in-led-internet-of-things-push/</link>
		<comments>https://gigaom.com/2015/02/24/evrythng-partners-with-gooee-in-led-internet-of-things-push/#comments</comments>
		<pubDate>Tue, 24 Feb 2015 09:54:32 +0000</pubDate>
		<dc:creator><![CDATA[David Meyer]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[internet of things]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[IoT]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[LEDs]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[smart lighting]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=916727</guid>
		<description><![CDATA[The internet-of-things identity management outfit Evrythng, which partnered up with Samsung not long ago, has struck another strategic partnership deal – this time with a new LED lighting player called Gooee. Gooee, which emerged last year out of lighting technology firm Aurora, provides sensors to detect [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/24/evrythng-partners-with-gooee-in-led-internet-of-things-push/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Evrythng partners with Gooee in LED internet of things push</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/02/24/evrythng-partners-with-gooee-in-led-internet-of-things-push/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=916727&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/24/evrythng-partners-with-gooee-in-led-internet-of-things-push/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
	
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		<media:content url="https://gigaom2.files.wordpress.com/2014/12/5101918026_3e02dec72d_o.jpg?quality=80&#38;strip=all&#38;w=150" medium="image">
			<media:title type="html">LED lighting</media:title>
		</media:content>

		<media:content url="https://0.gravatar.com/avatar/6599daccfd7e897e68744fe0065e5a2e?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">superglaze</media:title>
		</media:content>
	</item>
		<item>
		<title>eBay&#8217;s new Pulsar framework will analyze your data in real time</title>
		<link>https://gigaom.com/2015/02/23/ebays-new-pulsar-framework-will-analyze-your-data-in-real-time/</link>
		<comments>https://gigaom.com/2015/02/23/ebays-new-pulsar-framework-will-analyze-your-data-in-real-time/#comments</comments>
		<pubDate>Mon, 23 Feb 2015 20:34:24 +0000</pubDate>
		<dc:creator><![CDATA[Jonathan Vanian]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[apache-hadoop]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[API]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[batch-processing]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[computing]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[ebay]]></category>
		<category domain="https://search.gigaom.com/person/"><![CDATA[eBay]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[event processing framework]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[event processing language]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[java]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Metamarkets]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[real-time analysis]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[stream-processing framework]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=916525</guid>
		<description><![CDATA[eBay has a new open-source, real-time analytics and stream-processing framework called Pulsar that the company claims is in production and is available for others to download, according to an eBay blog post on Monday. The online auction site is now using Pulsar to gather and process [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/23/ebays-new-pulsar-framework-will-analyze-your-data-in-real-time/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">eBay&#8217;s new Pulsar framework will analyze your data in real time</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/02/23/ebays-new-pulsar-framework-will-analyze-your-data-in-real-time/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=916525&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/23/ebays-new-pulsar-framework-will-analyze-your-data-in-real-time/feed/</wfw:commentRss>
		<slash:comments>3</slash:comments>
	
		<media:thumbnail url="https://gigaom2.files.wordpress.com/2015/02/464399583.jpg?quality=80&#38;strip=all&#38;w=150" />
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			<media:title type="html">EBay logo</media:title>
		</media:content>

		<media:content url="https://2.gravatar.com/avatar/b36be2d5adab11bf46c8d1d7e6c34342?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">jonathanvanian</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/02/ebay-pulsar_pipeline.png?w=804" medium="image">
			<media:title type="html">eBay pulsar pipeline</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/02/pulsar_deployment.png?w=804" medium="image">
			<media:title type="html">Pulsar deployment</media:title>
		</media:content>
	</item>
		<item>
		<title>Microsoft is building fast, low-power neural networks with FPGAs</title>
		<link>https://gigaom.com/2015/02/23/microsoft-is-building-fast-low-power-neural-networks-with-fpgas/</link>
		<comments>https://gigaom.com/2015/02/23/microsoft-is-building-fast-low-power-neural-networks-with-fpgas/#comments</comments>
		<pubDate>Mon, 23 Feb 2015 17:28:12 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Altera]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[artificial intelligence]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Baidu]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Computer vision]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[deep learning]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[energy efficiency]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[FPGAs]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[GPUs]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[machine-learning]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Microsoft]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Microsoft Research]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Microsoft Research]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[neural networks]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Object recognition]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[processor architecture]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[webscale infrastructure]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=916437</guid>
		<description><![CDATA[Microsoft on Monday released a white paper explaining a current effort to run convolutional neural networks — the deep learning technique responsible for record-setting computer vision algorithms — on FPGAs rather than GPUs. Microsoft claims that new FPGA designs provide greatly improved processing speed over earlier [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/23/microsoft-is-building-fast-low-power-neural-networks-with-fpgas/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Microsoft is building fast, low-power neural networks with FPGAs</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/02/23/microsoft-is-building-fast-low-power-neural-networks-with-fpgas/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=916437&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/23/microsoft-is-building-fast-low-power-neural-networks-with-fpgas/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
	
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			<media:title type="html">Altera_StratixIVGX_FPGA</media:title>
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			<media:title type="html">dharrisstructure</media:title>
		</media:content>

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			<media:title type="html">fpgacnn</media:title>
		</media:content>
	</item>
		<item>
		<title>Remember when machine learning was hard? That&#8217;s about to change</title>
		<link>https://gigaom.com/2015/02/21/remember-when-machine-learning-was-hard-thats-about-to-change/</link>
		<comments>https://gigaom.com/2015/02/21/remember-when-machine-learning-was-hard-thats-about-to-change/#comments</comments>
		<pubDate>Sat, 21 Feb 2015 17:56:40 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[artificial intelligence]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Azure]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[Azure ML]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[big data]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Cloud Computing]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[deep learning]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[machine-learning]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[machine-learning]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Microsoft]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Microsoft]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Structure Data 2015]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=916311</guid>
		<description><![CDATA[A few years ago, there was a shift in the world of machine learning. Companies, such as Skytree and Context Relevant, began popping up, promising to make it easier for companies outside of big banks and web giants to run machine learning algorithms and to do [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/21/remember-when-machine-learning-was-hard-thats-about-to-change/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Remember when machine learning was hard? That&#8217;s about to change</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/02/21/remember-when-machine-learning-was-hard-thats-about-to-change/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=916311&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/21/remember-when-machine-learning-was-hard-thats-about-to-change/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
<enclosure url="http://traffic.libsyn.com/gigaom/021815_01-audio.mp3" length="41459419" type="audio/mpeg" />
	
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			<media:title type="html">brain network graph</media:title>
		</media:content>

		<media:content url="https://0.gravatar.com/avatar/9e48ffa0913f65c577727457dd63023f?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">dharrisstructure</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/02/joseph_sirosh640x474.png" medium="image">
			<media:title type="html">Joseph Sirosh</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/02/msrdl1.jpg?quality=80&#38;strip=all" medium="image">
			<media:title type="html">A set of images that the Microsoft system classified correctly.</media:title>
		</media:content>
	</item>
		<item>
		<title>For now, Spark looks like the future of big data</title>
		<link>https://gigaom.com/2015/02/20/for-now-spark-looks-like-the-future-of-big-data/</link>
		<comments>https://gigaom.com/2015/02/20/for-now-spark-looks-like-the-future-of-big-data/#comments</comments>
		<pubDate>Fri, 20 Feb 2015 21:05:38 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Altiscale]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Apache Spark]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[Apache Spark]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[big data]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Cloudera]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[data science]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Databricks]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Databricks]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Hadoop]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[Hadoop]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Hortonworks]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[HP]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Intel]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Mapr]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[MemSQL]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Microsoft]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[open source]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Oracle]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Qubole]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[salesforce]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Salesforce.com]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Spark]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[Spark]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Structure Data 2015]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Zoomdata]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=916170</guid>
		<description><![CDATA[Titles can be misleading. For example, the O’Reilly Strata + Hadoop World conference took place in San Jose, California, this week but Hadoop wasn’t the star of the show. Based on the news I saw coming out of the event, it’s another Apache project — Spark [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/20/for-now-spark-looks-like-the-future-of-big-data/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">For now, Spark looks like the future of big data</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/02/20/for-now-spark-looks-like-the-future-of-big-data/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=916170&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/20/for-now-spark-looks-like-the-future-of-big-data/feed/</wfw:commentRss>
		<slash:comments>5</slash:comments>
	
		<media:thumbnail url="https://gigaom2.files.wordpress.com/2015/02/shutterstock_146178461.jpg?quality=80&#38;strip=all&#38;w=150" />
		<media:content url="https://gigaom2.files.wordpress.com/2015/02/shutterstock_146178461.jpg?quality=80&#38;strip=all&#38;w=150" medium="image">
			<media:title type="html">crystal ball analytics</media:title>
		</media:content>

		<media:content url="https://0.gravatar.com/avatar/9e48ffa0913f65c577727457dd63023f?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">dharrisstructure</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/02/spark_ecosystem_chart11.jpg?quality=80&#38;strip=all" medium="image">
			<media:title type="html">The Spark platform, minus the Tachyon file system and some younger related projects.</media:title>
		</media:content>
	</item>
		<item>
		<title>The Druid real-time database moves to an Apache license</title>
		<link>https://gigaom.com/2015/02/20/the-druid-real-time-database-moves-to-an-apache-license/</link>
		<comments>https://gigaom.com/2015/02/20/the-druid-real-time-database-moves-to-an-apache-license/#comments</comments>
		<pubDate>Fri, 20 Feb 2015 16:22:52 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[analytics]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[big data]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[database]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[Druid]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Druid]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[in-memory database]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Metamarkets]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Metamarkets]]></category>
		<category domain="https://search.gigaom.com/person/"><![CDATA[Mike Driscoll]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[open source]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[time-series data]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Web Infrastructure]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=916132</guid>
		<description><![CDATA[Druid, an open source database designed for real-time analysis, is moving to the Apache 2 software license in order to hopefully spur more use of and innovation around the project. It was open sourced in late 2012 under the GPL license, which is generally considered more restrictive than [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/20/the-druid-real-time-database-moves-to-an-apache-license/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">The Druid real-time database moves to an Apache license</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/02/20/the-druid-real-time-database-moves-to-an-apache-license/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=916132&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/20/the-druid-real-time-database-moves-to-an-apache-license/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
	
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			<media:title type="html">druid-web-large2</media:title>
		</media:content>

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			<media:title type="html">dharrisstructure</media:title>
		</media:content>
	</item>
		<item>
		<title>A massive database now translates news in 65 languages in real time</title>
		<link>https://gigaom.com/2015/02/19/a-massive-database-now-translates-news-in-65-languages-in-real-time/</link>
		<comments>https://gigaom.com/2015/02/19/a-massive-database-now-translates-news-in-65-languages-in-real-time/#comments</comments>
		<pubDate>Thu, 19 Feb 2015 22:40:37 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[big data]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Cloud Computing]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[GDELT]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[GDELT]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Google]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Google BigQuery]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[Google BigQuery]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[google compute engine]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[google compute engine]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Kalev Leetaru]]></category>
		<category domain="https://search.gigaom.com/person/"><![CDATA[Kalev Leetaru]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[machine translation]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Open Data]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Structure Data 2015]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=915969</guid>
		<description><![CDATA[I have written quite a bit about GDELT (the Global Database of Events, Languages and Tone) over the past year, because I think it’s a great example of the type of ambitious project only made possible by the advent of cloud computing and big data systems. In a [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/19/a-massive-database-now-translates-news-in-65-languages-in-real-time/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">A massive database now translates news in 65 languages in real time</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/02/19/a-massive-database-now-translates-news-in-65-languages-in-real-time/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=915969&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/19/a-massive-database-now-translates-news-in-65-languages-in-real-time/feed/</wfw:commentRss>
		<slash:comments>3</slash:comments>
	
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			<media:title type="html">analysis-networkvis</media:title>
		</media:content>

		<media:content url="https://0.gravatar.com/avatar/9e48ffa0913f65c577727457dd63023f?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">dharrisstructure</media:title>
		</media:content>

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			<media:title type="html">FORECAST1</media:title>
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	</item>
		<item>
		<title>The 4 things (at least) you&#8217;ll learn about at Structure Data</title>
		<link>https://gigaom.com/2015/02/19/the-4-things-at-least-youll-learn-about-at-structure-data/</link>
		<comments>https://gigaom.com/2015/02/19/the-4-things-at-least-youll-learn-about-at-structure-data/#comments</comments>
		<pubDate>Thu, 19 Feb 2015 17:34:45 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[artificial intelligence]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[big data]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[data science]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[machine-learning]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Structure Data 2015]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=915784</guid>
		<description><![CDATA[Gigaom’s Structure Data conference is less than a month away, kicking off March 18 in New York. There are a lot of reasons to attend — great location, great networking, free drinks — but, of course, the biggest reason is great content. With that in mind, here are [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/19/the-4-things-at-least-youll-learn-about-at-structure-data/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">The 4 things (at least) you&#8217;ll learn about at Structure Data</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/02/19/the-4-things-at-least-youll-learn-about-at-structure-data/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=915784&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/19/the-4-things-at-least-youll-learn-about-at-structure-data/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
	
		<media:thumbnail url="https://gigaom2.files.wordpress.com/2014/12/010_gigaom_structure_data_2014.jpg?quality=80&#38;strip=all&#38;w=150" />
		<media:content url="https://gigaom2.files.wordpress.com/2014/12/010_gigaom_structure_data_2014.jpg?quality=80&#38;strip=all&#38;w=150" medium="image">
			<media:title type="html">GIGAOM STRUCTURE DATA 2014</media:title>
		</media:content>

		<media:content url="https://0.gravatar.com/avatar/9e48ffa0913f65c577727457dd63023f?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">dharrisstructure</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/02/eric_brewer640x474.png" medium="image">
			<media:title type="html">Eric Brewer, vice president of infrastructure, Google</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/02/julie_shah640x474.png" medium="image">
			<media:title type="html">Julie Shah, Interactive Robotics Group, MIT</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/02/ky_harlin640x474new.png" medium="image">
			<media:title type="html">Ky Harlin, director of data science, BuzzFeed</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/02/julie_brill640x474.png" medium="image">
			<media:title type="html">Julie Brill, commissioner, Federal Trade Commission</media:title>
		</media:content>
	</item>
		<item>
		<title>NSA-linked Sqrrl eyes cyber security and lands $7M in funding</title>
		<link>https://gigaom.com/2015/02/18/nsa-linked-sqrrl-eyes-cyber-security-and-lands-7m-in-funding/</link>
		<comments>https://gigaom.com/2015/02/18/nsa-linked-sqrrl-eyes-cyber-security-and-lands-7m-in-funding/#comments</comments>
		<pubDate>Thu, 19 Feb 2015 05:01:35 +0000</pubDate>
		<dc:creator><![CDATA[Jonathan Vanian]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[big data]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[data management]]></category>
		<category domain="https://search.gigaom.com/person/"><![CDATA[Ely Kahn]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[graph database]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Matrix Partners]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[NoSQL]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[NSA]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[security]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[splunk]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[sqrrl]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Sqrrl Enterprise]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[threat detection]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[visualization tools]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=915730</guid>
		<description><![CDATA[Sqrrl, the big data startup whose founders used to work for the NSA, plans to announce Thursday that it is shifting its focus to cyber security with a new release of its enterprise service. The startup is also taking in a $7 million Series B investment [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/18/nsa-linked-sqrrl-eyes-cyber-security-and-lands-7m-in-funding/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">NSA-linked Sqrrl eyes cyber security and lands $7M in funding</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/02/18/nsa-linked-sqrrl-eyes-cyber-security-and-lands-7m-in-funding/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=915730&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/18/nsa-linked-sqrrl-eyes-cyber-security-and-lands-7m-in-funding/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
		<media:thumbnail url="https://gigaom2.files.wordpress.com/2015/02/istock_000006447161_large.jpg?quality=80&#38;strip=all&#38;w=150" />
		<media:content url="https://gigaom2.files.wordpress.com/2015/02/istock_000006447161_large.jpg?quality=80&#38;strip=all&#38;w=150" medium="image">
			<media:title type="html">Sqrrl</media:title>
		</media:content>

		<media:content url="https://2.gravatar.com/avatar/b36be2d5adab11bf46c8d1d7e6c34342?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">jonathanvanian</media:title>
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		<media:content url="https://gigaom2.files.wordpress.com/2015/02/sqrrl-dashboard.png" medium="image">
			<media:title type="html">Sqrrl dashboard</media:title>
		</media:content>
	</item>
		<item>
		<title>DJ Patil joins White House as Chief Data Scientist to work on precision medicine</title>
		<link>https://gigaom.com/2015/02/18/dj-patil-joins-white-house-to-work-on-precision-medicine/</link>
		<comments>https://gigaom.com/2015/02/18/dj-patil-joins-white-house-to-work-on-precision-medicine/#comments</comments>
		<pubDate>Wed, 18 Feb 2015 22:48:39 +0000</pubDate>
		<dc:creator><![CDATA[Stacey Higginbotham]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[dj patil]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[LinkedIn]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Structure Data]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[White House]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=915710</guid>
		<description><![CDATA[As we reported two weeks ago, after White House staff leaked the news on a conference call, DJ Patil, the former Chief Data scientist at LinkedIn and most recently a VP of Product at RelateIQ, is now the Chief Data Scientist at the White House. In [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/18/dj-patil-joins-white-house-to-work-on-precision-medicine/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">DJ Patil joins White House as Chief Data Scientist to work on precision medicine</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/02/18/dj-patil-joins-white-house-to-work-on-precision-medicine/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=915710&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/18/dj-patil-joins-white-house-to-work-on-precision-medicine/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
	
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			<media:title type="html">shigginbotham</media:title>
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	</item>
		<item>
		<title>Google open sources a MapReduce framework for C/C++</title>
		<link>https://gigaom.com/2015/02/18/google-open-sources-a-mapreduce-framework-for-c/</link>
		<comments>https://gigaom.com/2015/02/18/google-open-sources-a-mapreduce-framework-for-c/#comments</comments>
		<pubDate>Wed, 18 Feb 2015 20:22:58 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[big data]]></category>
		<category domain="https://searh.gigaom.om/tag/"><![CDATA[c]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Google]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Google]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Hadoop]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[java]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[open source]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=915606</guid>
		<description><![CDATA[Google announced on Wednesday that the company is open sourcing a MapReduce framework that will let users run native C and C++ code in their Hadoop environments. Depending on how much traction MapReduce for C, or MR4C, gets and by whom, it could turn out to [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/18/google-open-sources-a-mapreduce-framework-for-c/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Google open sources a MapReduce framework for C/C++</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/02/18/google-open-sources-a-mapreduce-framework-for-c/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=915606&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/18/google-open-sources-a-mapreduce-framework-for-c/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
		<media:thumbnail url="https://gigaom2.files.wordpress.com/2015/01/data-binary-code.jpg?quality=80&#38;strip=all&#38;w=150" />
		<media:content url="https://gigaom2.files.wordpress.com/2015/01/data-binary-code.jpg?quality=80&#38;strip=all&#38;w=150" medium="image">
			<media:title type="html">Data binary code</media:title>
		</media:content>

		<media:content url="https://0.gravatar.com/avatar/9e48ffa0913f65c577727457dd63023f?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">dharrisstructure</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/02/mr4c.png" medium="image">
			<media:title type="html">MR4C</media:title>
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		<item>
		<title>Google raises alarm over global search warrants</title>
		<link>https://gigaom.com/2015/02/18/google-raises-alarm-over-global-search-warrants/</link>
		<comments>https://gigaom.com/2015/02/18/google-raises-alarm-over-global-search-warrants/#comments</comments>
		<pubDate>Wed, 18 Feb 2015 19:28:09 +0000</pubDate>
		<dc:creator><![CDATA[Jeff John Roberts]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Google]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Justice Department]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Microsoft]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Rule 41]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[search warrants]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=915577</guid>
		<description><![CDATA[Google used loaded language on Wednesday to warn that a Justice Department proposal will make it easier for U.S. law enforcement to reach into remote computers, and that it could upset diplomatic relations with other countries. &#8220;[The change] could have profound implications for the privacy rights and [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/18/google-raises-alarm-over-global-search-warrants/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Google raises alarm over global search warrants</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/02/18/google-raises-alarm-over-global-search-warrants/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=915577&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/18/google-raises-alarm-over-global-search-warrants/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
		<media:thumbnail url="https://gigaom2.files.wordpress.com/2014/09/433336499_6dbedef371_b.jpg?quality=80&#38;strip=all&#38;w=150" />
		<media:content url="https://gigaom2.files.wordpress.com/2014/09/433336499_6dbedef371_b.jpg?quality=80&#38;strip=all&#38;w=150" medium="image">
			<media:title type="html">Google generic</media:title>
		</media:content>

		<media:content url="https://0.gravatar.com/avatar/05dfcf765f1554b08954bb9e1ee63363?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">jeffjohnroberts</media:title>
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	</item>
		<item>
		<title>Pinterest is experimenting with MemSQL for real-time data analytics</title>
		<link>https://gigaom.com/2015/02/18/pinterest-is-experimenting-with-memsql-for-real-time-data-analytics/</link>
		<comments>https://gigaom.com/2015/02/18/pinterest-is-experimenting-with-memsql-for-real-time-data-analytics/#comments</comments>
		<pubDate>Wed, 18 Feb 2015 19:00:27 +0000</pubDate>
		<dc:creator><![CDATA[Jonathan Vanian]]></dc:creator>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Amazon]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[apache-hadoop]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[batch-processing]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[computing]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[data analysis]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[MemSQL]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Pinterest]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Spark]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[SQL]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Storm]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=915570</guid>
		<description><![CDATA[Pinterest shed more light on how the social scrapbook and visual discovery service analyzes data in real time, it said in a blog post on Wednesday, also revealing details about how it&#8217;s exploring a combination of MemSQL and Spark Streaming to improve the process. Currently, Pinterest [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/18/pinterest-is-experimenting-with-memsql-for-real-time-data-analytics/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Pinterest is experimenting with MemSQL for real-time data analytics</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/02/18/pinterest-is-experimenting-with-memsql-for-real-time-data-analytics/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=915570&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/18/pinterest-is-experimenting-with-memsql-for-real-time-data-analytics/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
		<media:thumbnail url="https://gigaom2.files.wordpress.com/2014/06/8509995739_6f425484ee_b.jpg?quality=80&#38;strip=all&#38;w=150" />
		<media:content url="https://gigaom2.files.wordpress.com/2014/06/8509995739_6f425484ee_b.jpg?quality=80&#38;strip=all&#38;w=150" medium="image">
			<media:title type="html">Pinterest generic</media:title>
		</media:content>

		<media:content url="https://2.gravatar.com/avatar/b36be2d5adab11bf46c8d1d7e6c34342?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">jonathanvanian</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/02/tumblr_inline_njz7mnyd991t4ytfr.png" medium="image">
			<media:title type="html">Pinterest real-time analytics</media:title>
		</media:content>
	</item>
		<item>
		<title>BlueTalon raises $5M, sets sights on securing Hadoop</title>
		<link>https://gigaom.com/2015/02/18/bluetalon-raises-5m-sets-sights-on-securing-hadoop/</link>
		<comments>https://gigaom.com/2015/02/18/bluetalon-raises-5m-sets-sights-on-securing-hadoop/#comments</comments>
		<pubDate>Wed, 18 Feb 2015 18:43:22 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[big data]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[BlueTalon]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[BlueTalon]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[data-security]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Hadoop]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[open source]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[security]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=915550</guid>
		<description><![CDATA[BlueTalon, a database security startup that launched last year around the goal of enabling secure data collaboration, has shifted its focus to Hadoop and is set to release its first product. The company has also raised an additional $5 million in venture capital, it announced on [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/18/bluetalon-raises-5m-sets-sights-on-securing-hadoop/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">BlueTalon raises $5M, sets sights on securing Hadoop</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/02/18/bluetalon-raises-5m-sets-sights-on-securing-hadoop/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=915550&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/18/bluetalon-raises-5m-sets-sights-on-securing-hadoop/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
	
		<media:thumbnail url="https://gigaom2.files.wordpress.com/2014/09/shutterstock_199528379.jpg?quality=80&#38;strip=all&#38;w=150" />
		<media:content url="https://gigaom2.files.wordpress.com/2014/09/shutterstock_199528379.jpg?quality=80&#38;strip=all&#38;w=150" medium="image">
			<media:title type="html">Security - Generic</media:title>
		</media:content>

		<media:content url="https://0.gravatar.com/avatar/9e48ffa0913f65c577727457dd63023f?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">dharrisstructure</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/02/bluetalon-d1.png" medium="image">
			<media:title type="html">BlueTalon-D1</media:title>
		</media:content>
	</item>
		<item>
		<title>Microsoft embraces Python, Linux in new big data tools</title>
		<link>https://gigaom.com/2015/02/18/microsoft-embraces-python-linux-in-new-big-data-tools/</link>
		<comments>https://gigaom.com/2015/02/18/microsoft-embraces-python-linux-in-new-big-data-tools/#comments</comments>
		<pubDate>Wed, 18 Feb 2015 16:00:03 +0000</pubDate>
		<dc:creator><![CDATA[Barb Darrow]]></dc:creator>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[.NET]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Amazon]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[Azure Machine Learning]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[Azure ML]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[big data]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Google]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[HDInsight]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[HDInsight]]></category>
		<category domain="https://search.gigaom.com/person/"><![CDATA[Joseph Sirosh]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Joseph Sirosh]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Linux]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[Linux]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Microsoft]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[microsoft-azure]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[python]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[python]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Revolution Analytics]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Satya Nadella]]></category>
		<category domain="https://search.gigaom.com/person/"><![CDATA[Satya Nadella]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[Storm]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[Windows]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=915470</guid>
		<description><![CDATA[Continuing its quest to make Microsoft Azure comfy for the non-Windows world, Microsoft just launched a preview of its Hadoop-based cloud tool (HDInsight) that runs on Linux. It’s also making its Azure ML machine learning service widely available now with new support for Python as well as the already-planned support for [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/18/microsoft-embraces-python-linux-in-new-big-data-tools/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Microsoft embraces Python, Linux in new big data tools</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/02/18/microsoft-embraces-python-linux-in-new-big-data-tools/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=915470&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/18/microsoft-embraces-python-linux-in-new-big-data-tools/feed/</wfw:commentRss>
		<slash:comments>7</slash:comments>
	
		<media:thumbnail url="https://gigaom2.files.wordpress.com/2015/02/joseph-sirosh.jpg?quality=80&#38;strip=all&#38;w=150" />
		<media:content url="https://gigaom2.files.wordpress.com/2015/02/joseph-sirosh.jpg?quality=80&#38;strip=all&#38;w=150" medium="image">
			<media:title type="html">joseph sirosh</media:title>
		</media:content>

		<media:content url="https://1.gravatar.com/avatar/4af03439988d64f816da72496325cb73?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">gigabarb</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/01/satya-nadella-cloud.jpg?quality=80&#38;strip=all" medium="image">
			<media:title type="html">Microsoft CEO Satya Nadella.</media:title>
		</media:content>
	</item>
		<item>
		<title>This startup’s software can manage your storage, all inside the server</title>
		<link>https://gigaom.com/2015/02/18/springpath-software-defined-storage/</link>
		<comments>https://gigaom.com/2015/02/18/springpath-software-defined-storage/#comments</comments>
		<pubDate>Wed, 18 Feb 2015 13:00:03 +0000</pubDate>
		<dc:creator><![CDATA[Jonathan Vanian]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[apache-hadoop]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Cloud Computing]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[cloud-infrastructure]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Computer data storage]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Converged storage]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[data caching]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[data-deduplication]]></category>
		<category domain="https://search.gigaom.com/person/"><![CDATA[Mallik Mahalingam]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Primary Data]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Qumulo]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[sds]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[server]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[software designed storage]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[software-defined data center]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Springpath]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[virtual networking technology]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[VMWare]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=915451</guid>
		<description><![CDATA[Although we’re still a ways away from seeing the data deluge that’s sure to come as the internet of things becomes more mainstream, that doesn’t mean storage startups aren’t busy creating technology designed to handle the flood of data. Launching Wednesday, a new Sunnyvale-based storage startup [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/18/springpath-software-defined-storage/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">This startup’s software can manage your storage, all inside the server</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/02/18/springpath-software-defined-storage/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=915451&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/18/springpath-software-defined-storage/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
	
		<media:thumbnail url="https://gigaom2.files.wordpress.com/2014/11/shutterstock_185819999.jpg?quality=80&#38;strip=all&#38;w=150" />
		<media:content url="https://gigaom2.files.wordpress.com/2014/11/shutterstock_185819999.jpg?quality=80&#38;strip=all&#38;w=150" medium="image">
			<media:title type="html">Server failure generic</media:title>
		</media:content>

		<media:content url="https://2.gravatar.com/avatar/b36be2d5adab11bf46c8d1d7e6c34342?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">jonathanvanian</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/02/halo.png" medium="image">
			<media:title type="html">HALO</media:title>
		</media:content>
	</item>
		<item>
		<title>How Twitter processes tons of mobile application data each day</title>
		<link>https://gigaom.com/2015/02/17/how-twitter-processes-tons-of-mobile-application-data-each-day/</link>
		<comments>https://gigaom.com/2015/02/17/how-twitter-processes-tons-of-mobile-application-data-each-day/#comments</comments>
		<pubDate>Tue, 17 Feb 2015 23:31:49 +0000</pubDate>
		<dc:creator><![CDATA[Jonathan Vanian]]></dc:creator>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Amazon]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[Answers]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Apache Cassandra]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[batch-processing]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[batch-processing jobs]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[cloud-infrastructure]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[computing]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[mapreduce]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[parallel computing]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[probabilistic algorithms]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[real-time processing]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Twitter]]></category>
		<category domain="https://search.gigaom.com/person/"><![CDATA[Twitter]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=915404</guid>
		<description><![CDATA[It’s only been seven months since Twitter released its Answers tool, which was designed to provide users with mobile application analytics. But since that time, Twitter now sees roughly five billion daily sessions in which “hundreds of millions of devices send millions of events every second [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/17/how-twitter-processes-tons-of-mobile-application-data-each-day/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">How Twitter processes tons of mobile application data each day</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/02/17/how-twitter-processes-tons-of-mobile-application-data-each-day/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=915404&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/17/how-twitter-processes-tons-of-mobile-application-data-each-day/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
		<media:thumbnail url="https://gigaom2.files.wordpress.com/2015/01/shutterstock_161838491.jpg?quality=80&#38;strip=all&#38;w=150" />
		<media:content url="https://gigaom2.files.wordpress.com/2015/01/shutterstock_161838491.jpg?quality=80&#38;strip=all&#38;w=150" medium="image">
			<media:title type="html">Twitter</media:title>
		</media:content>

		<media:content url="https://2.gravatar.com/avatar/b36be2d5adab11bf46c8d1d7e6c34342?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">jonathanvanian</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/02/answers_architecture_screenshot2_0.png" medium="image">
			<media:title type="html">Data pipeline</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/02/answers_architecture_screenshot5.png" medium="image">
			<media:title type="html">Twitter Answers architecture</media:title>
		</media:content>
	</item>
		<item>
		<title>Cloudera claims more than $100M in revenue in 2014</title>
		<link>https://gigaom.com/2015/02/17/cloudera-claims-more-than-100m-in-revenue-in-2014/</link>
		<comments>https://gigaom.com/2015/02/17/cloudera-claims-more-than-100m-in-revenue-in-2014/#comments</comments>
		<pubDate>Tue, 17 Feb 2015 21:34:00 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[big data]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Cloudera]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Cloudera]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Hadoop]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Hortonworks]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Hortonworks]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Mapr]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Mapr]]></category>
		<category domain="https://search.gigaom.com/person/"><![CDATA[Mike Olson]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[open source]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Pivotal]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Pivotal]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Structure Data 2015]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=915328</guid>
		<description><![CDATA[Hadoop vendor Cloudera announced on Tuesday that the company’s “[p]reliminary unaudited total revenue surpassed $100 million” in 2014. That the company, which is still privately held, would choose to disclose even that much information about its finances speaks to the fast maturation, growing competition and big [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/17/cloudera-claims-more-than-100m-in-revenue-in-2014/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Cloudera claims more than $100M in revenue in 2014</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/02/17/cloudera-claims-more-than-100m-in-revenue-in-2014/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=915328&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/17/cloudera-claims-more-than-100m-in-revenue-in-2014/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
		<media:thumbnail url="https://gigaom2.files.wordpress.com/2014/03/reilly_001.jpg?quality=80&#38;strip=all&#38;w=150" />
		<media:content url="https://gigaom2.files.wordpress.com/2014/03/reilly_001.jpg?quality=80&#38;strip=all&#38;w=150" medium="image">
			<media:title type="html">Tom Reilly CEO Cloudera Gigaom Structure data 2014</media:title>
		</media:content>

		<media:content url="https://0.gravatar.com/avatar/9e48ffa0913f65c577727457dd63023f?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">dharrisstructure</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2014/03/bearden_002.jpg?quality=80&#38;strip=all" medium="image">
			<media:title type="html">Hortonworks CEO Rob Bearden at Structure Data 2014.</media:title>
		</media:content>
	</item>
		<item>
		<title>Watson-powered toy blows past Kickstarter goal in a day</title>
		<link>https://gigaom.com/2015/02/17/watson-powered-toy-blows-past-kickstarter-goal-in-a-day/</link>
		<comments>https://gigaom.com/2015/02/17/watson-powered-toy-blows-past-kickstarter-goal-in-a-day/#comments</comments>
		<pubDate>Tue, 17 Feb 2015 19:46:39 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[artificial intelligence]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[cognitive computing]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Elemental Path]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[IBM]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[IBM]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[ibm-watson]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[natural language processing]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[speech recognition]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Structure Data 2015]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[voice recognition]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[voice-interface]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=915294</guid>
		<description><![CDATA[First it was Jeopardy!, then it was cancer, e-commerce and cooking. Now, IBM’s Watson artificial intelligence system is powering a line of connected toys. And it looks as if people are impressed with the idea: A company called Elemental Path launched a Kickstarter campaign on Monday for [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/17/watson-powered-toy-blows-past-kickstarter-goal-in-a-day/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Watson-powered toy blows past Kickstarter goal in a day</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/02/17/watson-powered-toy-blows-past-kickstarter-goal-in-a-day/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=915294&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/17/watson-powered-toy-blows-past-kickstarter-goal-in-a-day/feed/</wfw:commentRss>
		<slash:comments>4</slash:comments>
	
		<media:thumbnail url="https://gigaom2.files.wordpress.com/2015/02/cognitoys.jpg?quality=80&#38;strip=all&#38;w=150" />
		<media:content url="https://gigaom2.files.wordpress.com/2015/02/cognitoys.jpg?quality=80&#38;strip=all&#38;w=150" medium="image">
			<media:title type="html">cognitoys</media:title>
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		<media:content url="https://0.gravatar.com/avatar/9e48ffa0913f65c577727457dd63023f?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">dharrisstructure</media:title>
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		<media:content url="https://gigaom2.files.wordpress.com/2015/02/cognitoys2-e1424202230770.jpg?quality=80&#38;strip=all" medium="image">
			<media:title type="html">cognitoys2</media:title>
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	</item>
		<item>
		<title>Pivotal open sources its Hadoop and Greenplum tech, and then some</title>
		<link>https://gigaom.com/2015/02/17/pivotal-open-sources-its-hadoop-and-greenplum-tech-and-then-some/</link>
		<comments>https://gigaom.com/2015/02/17/pivotal-open-sources-its-hadoop-and-greenplum-tech-and-then-some/#comments</comments>
		<pubDate>Tue, 17 Feb 2015 16:00:26 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[big data]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Cloud Computing]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Cloud Foundry]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Cloudera]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[database]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[EMC]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[GE]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Greenplum]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Hadoop]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Hortonworks]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Hortonworks]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[IBM]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[open source]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Pivotal]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Pivotal]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[SQL on Hadoop]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Teradata]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Verizon]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[VMWare]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=915177</guid>
		<description><![CDATA[Pivotal, the cloud computing and big data company that spun out from EMC and VMware in 2013, is open sourcing its entire portfolio of big data technologies and is teaming up with Hortonworks, IBM, GE, and several other companies on a Hadoop effort called the Open [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/17/pivotal-open-sources-its-hadoop-and-greenplum-tech-and-then-some/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Pivotal open sources its Hadoop and Greenplum tech, and then some</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/02/17/pivotal-open-sources-its-hadoop-and-greenplum-tech-and-then-some/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
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		<slash:comments>1</slash:comments>
	
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			<media:title type="html">Paul Maritz, Pivotal CEO, Structure Data 2014</media:title>
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			<media:title type="html">The Pivotal HD and Hawq architecture</media:title>
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		<title>Sponsored post: 7 Reasons you should consider Apache Spark</title>
		<link>https://gigaom.com/2015/02/17/7-reasons-you-should-consider-apache-spark/</link>
		<comments>https://gigaom.com/2015/02/17/7-reasons-you-should-consider-apache-spark/#comments</comments>
		<pubDate>Tue, 17 Feb 2015 13:55:51 +0000</pubDate>
		<dc:creator><![CDATA[<a href="http://www.qubole.com" rel="author">Qubole</a>]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>

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		<description><![CDATA[Leveraging Big Data technology is a major competitive advantage. Completing that data analysis faster and more efficiently than rivals creates significant ROI potential, regardless of industry. Apache Spark is an open source cluster computing framework that is quickly gaining traction among enterprises due to its ability [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/17/7-reasons-you-should-consider-apache-spark/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed"><span class="sponsor-title">Sponsored post:</span> 7 Reasons you should consider Apache Spark</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
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	<a href="https://gigaom.com/2015/02/17/7-reasons-you-should-consider-apache-spark/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
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		<title>Why deep learning is at least inspired by biology, if not the brain</title>
		<link>https://gigaom.com/2015/02/14/why-deep-learning-is-at-least-inspired-by-biology-if-not-the-brain/</link>
		<comments>https://gigaom.com/2015/02/14/why-deep-learning-is-at-least-inspired-by-biology-if-not-the-brain/#comments</comments>
		<pubDate>Sat, 14 Feb 2015 18:58:13 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[artificial intelligence]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Computational neuroscience]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Computer vision]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[deep learning]]></category>
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		<category domain="https://search.gigaom.com/tag/"><![CDATA[machine-learning]]></category>
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		<category domain="https://search.gigaom.com/tag/"><![CDATA[Object recognition]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=915084</guid>
		<description><![CDATA[As deep learning continues gathering steam among researchers, entrepreneurs and the press, there’s a loud-and-getting-louder debate about whether its algorithms actually operate like the human brain does. The comparison might not make much of a difference to developers who just want to build applications that can identify objects [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/14/why-deep-learning-is-at-least-inspired-by-biology-if-not-the-brain/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Why deep learning is at least inspired by biology, if not the brain</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
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<p>
	<a href="https://gigaom.com/2015/02/14/why-deep-learning-is-at-least-inspired-by-biology-if-not-the-brain/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
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		<slash:comments>4</slash:comments>
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		<media:thumbnail url="https://gigaom2.files.wordpress.com/2015/01/shutterstock_144479800.jpg?quality=80&#38;strip=all&#38;w=150" />
		<media:content url="https://gigaom2.files.wordpress.com/2015/01/shutterstock_144479800.jpg?quality=80&#38;strip=all&#38;w=150" medium="image">
			<media:title type="html">neural network</media:title>
		</media:content>

		<media:content url="https://0.gravatar.com/avatar/9e48ffa0913f65c577727457dd63023f?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">dharrisstructure</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/02/ahna-girshick.jpg?quality=80&#38;strip=all" medium="image">
			<media:title type="html">Ahna Girshick, Enlitic&#039;s senior data scientist.</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2013/01/1z5o1377.jpg?quality=80&#38;strip=all" medium="image">
			<media:title type="html">Structure Data 2012: Ryan Kim – Staff Writer, GigaOM, Eric Huls – VP, Allstate Insurance Company, Jeremy Howard – President and Chief Scientist, Kaggle</media:title>
		</media:content>
	</item>
		<item>
		<title>Microsoft says its new computer vision system can outperform humans</title>
		<link>https://gigaom.com/2015/02/13/microsoft-says-its-new-computer-vision-system-can-outperform-humans/</link>
		<comments>https://gigaom.com/2015/02/13/microsoft-says-its-new-computer-vision-system-can-outperform-humans/#comments</comments>
		<pubDate>Fri, 13 Feb 2015 19:17:35 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[artificial intelligence]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Baidu]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Computer vision]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[deep learning]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Google]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[image recognition]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[machine-learning]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Microsoft]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Microsoft Research]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Microsoft Research]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Object recognition]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Structure Data 2015]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=914914</guid>
		<description><![CDATA[Microsoft researchers claim in a recently published paper that they have developed the first computer system capable of outperforming humans on a popular benchmark. While it’s estimated that humans can classify images in the ImageNet dataset with an error rate of 5.1 percent, Microsoft’s team said its deep-learning-based [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/13/microsoft-says-its-new-computer-vision-system-can-outperform-humans/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Microsoft says its new computer vision system can outperform humans</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/02/13/microsoft-says-its-new-computer-vision-system-can-outperform-humans/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=914914&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/13/microsoft-says-its-new-computer-vision-system-can-outperform-humans/feed/</wfw:commentRss>
		<slash:comments>6</slash:comments>
	
		<media:thumbnail url="https://gigaom2.files.wordpress.com/2015/01/6095282709_487842e769_b.jpg?quality=80&#38;strip=all&#38;w=150" />
		<media:content url="https://gigaom2.files.wordpress.com/2015/01/6095282709_487842e769_b.jpg?quality=80&#38;strip=all&#38;w=150" medium="image">
			<media:title type="html">Microsoft Headquarters</media:title>
		</media:content>

		<media:content url="https://0.gravatar.com/avatar/9e48ffa0913f65c577727457dd63023f?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">dharrisstructure</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/02/msrdl1.jpg?quality=80&#38;strip=all" medium="image">
			<media:title type="html">A set of images that the Microsoft system classified correctly.</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/02/msrdl2.jpg?quality=80&#38;strip=all" medium="image">
			<media:title type="html">A set of images where the deep learning system didn&#039;t match the given label, although it did correctly classify objects in the scene.</media:title>
		</media:content>
	</item>
		<item>
		<title>The rise of self-service analytics, in 3 charts</title>
		<link>https://gigaom.com/2015/02/13/the-rise-of-self-service-analytics-in-3-charts/</link>
		<comments>https://gigaom.com/2015/02/13/the-rise-of-self-service-analytics-in-3-charts/#comments</comments>
		<pubDate>Fri, 13 Feb 2015 16:37:14 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[analytics]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Business Intelligence]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[data analysis]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[data democratization]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[IBM]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Microsoft]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[microstrategy]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[microstrategy]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Qlik]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Qlik]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Salesforce.com]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[tableau]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[tableau]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Visualization]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=914765</guid>
		<description><![CDATA[I’m trying really hard to write less about business intelligence and analytics software. We get it: Data is important to businesses, and the easier you can make it for people to analyze it, the more they’ll use your software to do it. What more is there to [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/13/the-rise-of-self-service-analytics-in-3-charts/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">The rise of self-service analytics, in 3 charts</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/02/13/the-rise-of-self-service-analytics-in-3-charts/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=914765&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/13/the-rise-of-self-service-analytics-in-3-charts/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
	
		<media:thumbnail url="https://gigaom2.files.wordpress.com/2015/02/selfserve2.jpg?quality=80&#38;strip=all&#38;w=150" />
		<media:content url="https://gigaom2.files.wordpress.com/2015/02/selfserve2.jpg?quality=80&#38;strip=all&#38;w=150" medium="image">
			<media:title type="html">selfserve2</media:title>
		</media:content>

		<media:content url="https://0.gravatar.com/avatar/9e48ffa0913f65c577727457dd63023f?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">dharrisstructure</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/01/powerbi4-e1422338940274.jpg?quality=80&#38;strip=all" medium="image">
			<media:title type="html">A screenshot from a sample PowerBI dashboard.</media:title>
		</media:content>
	</item>
		<item>
		<title>How NASA uses quantum computing for space travel and robotics</title>
		<link>https://gigaom.com/2015/02/13/how-nasa-uses-quantum-computing-for-space-travel-and-robotics/</link>
		<comments>https://gigaom.com/2015/02/13/how-nasa-uses-quantum-computing-for-space-travel-and-robotics/#comments</comments>
		<pubDate>Fri, 13 Feb 2015 15:00:34 +0000</pubDate>
		<dc:creator><![CDATA[Jonathan Vanian]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Applied mathematics]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[big data]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[D-Wave Systems]]></category>
		<category domain="https://search.gigaom.com/person/"><![CDATA[Davide Venturelli]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Google]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[NASA]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[NASA Ames Research Center]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[National Aeronautics and Space Administration]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Quantum computer]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[quantum computing]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Quantum information science]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[robotics]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[space travel]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Structure Data 2015]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Universities Space Research Association]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=914746</guid>
		<description><![CDATA[Quantum computing is still in its infancy, even though the idea of a quantum computer was developed some thirty years ago. But there are a whole load of pioneering organizations (like Google) that are exploring how this potentially revolutionary technology could help them solve complex problems [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/13/how-nasa-uses-quantum-computing-for-space-travel-and-robotics/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">How NASA uses quantum computing for space travel and robotics</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/02/13/how-nasa-uses-quantum-computing-for-space-travel-and-robotics/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=914746&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/13/how-nasa-uses-quantum-computing-for-space-travel-and-robotics/feed/</wfw:commentRss>
		<slash:comments>3</slash:comments>
	
		<media:thumbnail url="https://gigaom2.files.wordpress.com/2014/04/screen-shot-2014-04-02-at-1-20-11-pm.png?w=150" />
		<media:content url="https://gigaom2.files.wordpress.com/2014/04/screen-shot-2014-04-02-at-1-20-11-pm.png?w=150" medium="image">
			<media:title type="html">Astronaut Mark Lee floating untethered in space</media:title>
		</media:content>

		<media:content url="https://2.gravatar.com/avatar/b36be2d5adab11bf46c8d1d7e6c34342?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">jonathanvanian</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/02/davide_venturelli640x474.png" medium="image">
			<media:title type="html">Davide Venturelli </media:title>
		</media:content>
	</item>
		<item>
		<title>New Relic boosts revenue growth in first post-IPO earnings</title>
		<link>https://gigaom.com/2015/02/12/new-relic-boosts-revenue-growth-in-first-post-ipo-earnings/</link>
		<comments>https://gigaom.com/2015/02/12/new-relic-boosts-revenue-growth-in-first-post-ipo-earnings/#comments</comments>
		<pubDate>Fri, 13 Feb 2015 00:03:31 +0000</pubDate>
		<dc:creator><![CDATA[Jonathan Vanian]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[analytics]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[application performance monitoring]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Business analytics]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Capital One Services]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[earnings]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Hootsuite Media]]></category>
		<category domain="https://search.gigaom.com/person/"><![CDATA[Lew Cirne]]></category>
		<category domain="https://search.gigaom.com/person/"><![CDATA[Mark Sachleben]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[New Relic]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[New Relic]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[software analytics]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[software development]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Walgreens Boots Alliance]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=914714</guid>
		<description><![CDATA[New Relic’s first earnings report since going public last December seemed to please investors as the application-performance and analytics company took in $29 million in revenue in what it considers its third quarter 2015 earnings. That&#8217;s a 14 percent quarter-over-quarter increase from the second quarter of [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/12/new-relic-boosts-revenue-growth-in-first-post-ipo-earnings/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">New Relic boosts revenue growth in first post-IPO earnings</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/02/12/new-relic-boosts-revenue-growth-in-first-post-ipo-earnings/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=914714&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/12/new-relic-boosts-revenue-growth-in-first-post-ipo-earnings/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
		<media:thumbnail url="https://gigaom2.files.wordpress.com/2013/09/y4a9315.jpg?quality=80&#38;strip=all&#38;w=150" />
		<media:content url="https://gigaom2.files.wordpress.com/2013/09/y4a9315.jpg?quality=80&#38;strip=all&#38;w=150" medium="image">
			<media:title type="html">Lew Cirne New Relic Structure:Europe 2013</media:title>
		</media:content>

		<media:content url="https://2.gravatar.com/avatar/b36be2d5adab11bf46c8d1d7e6c34342?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">jonathanvanian</media:title>
		</media:content>
	</item>
		<item>
		<title>Here&#8217;s more evidence that sports is a goldmine for machine learning</title>
		<link>https://gigaom.com/2015/02/12/heres-more-evidence-that-sports-is-a-goldmine-for-machine-learning/</link>
		<comments>https://gigaom.com/2015/02/12/heres-more-evidence-that-sports-is-a-goldmine-for-machine-learning/#comments</comments>
		<pubDate>Thu, 12 Feb 2015 19:09:41 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Automated Insights]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Automated Insights]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[ESPN]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[ESPN]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[language understanding]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[machine-learning]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[natural language processing]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[sports data]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[stats]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[stats]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[text analysis]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=914504</guid>
		<description><![CDATA[If you really like sports and you’re really skilled at data analysis or machine learning, you might want to make that your profession. On Thursday, private equity firm Vista announced it has acquired a natural-language processing startup called Automated Insights and will make it a subsidiary [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/12/heres-more-evidence-that-sports-is-a-goldmine-for-machine-learning/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Here&#8217;s more evidence that sports is a goldmine for machine learning</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/02/12/heres-more-evidence-that-sports-is-a-goldmine-for-machine-learning/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=914504&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/12/heres-more-evidence-that-sports-is-a-goldmine-for-machine-learning/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
		<media:thumbnail url="https://gigaom2.files.wordpress.com/2015/02/nlg_rawcode_clean.png?w=150" />
		<media:content url="https://gigaom2.files.wordpress.com/2015/02/nlg_rawcode_clean.png?w=150" medium="image">
			<media:title type="html">NLG_rawcode_clean</media:title>
		</media:content>

		<media:content url="https://0.gravatar.com/avatar/9e48ffa0913f65c577727457dd63023f?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">dharrisstructure</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/02/industries_sports_example.png" medium="image">
			<media:title type="html">industries_sports_example</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2015/02/svmain_slider1.jpg?quality=80&#38;strip=all" medium="image">
			<media:title type="html">SVmain_slider1</media:title>
		</media:content>

		<media:content url="https://gigaom2.files.wordpress.com/2014/02/4thdownbot2.jpg?quality=80&#38;strip=all" medium="image">
			<media:title type="html">A breakdown of what happens on fourth down.</media:title>
		</media:content>
	</item>
		<item>
		<title>Visa wants to track your smartphone to prevent credit card fraud</title>
		<link>https://gigaom.com/2015/02/12/visa-wants-to-track-your-smartphone-to-prevent-credit-card-fraud/</link>
		<comments>https://gigaom.com/2015/02/12/visa-wants-to-track-your-smartphone-to-prevent-credit-card-fraud/#comments</comments>
		<pubDate>Thu, 12 Feb 2015 19:03:10 +0000</pubDate>
		<dc:creator><![CDATA[Kevin Fitchard]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[credit-cards]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Finsphere]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[fraud]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[fraud detection algorithm]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[GPS]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[GSMA]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[LBS]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[location tracking]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[location-based servcies]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Mobile World Congress]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[MWC 2015]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Visa]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=914570</guid>
		<description><![CDATA[In two weeks I’m flying to Barcelona to attend Mobile World Congress, and as I have in every previous year I’ve gone to this conference, I’m going to engage in an annual ritual. Before I leave, I’m going to call up my banks and tell them [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/12/visa-wants-to-track-your-smartphone-to-prevent-credit-card-fraud/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Visa wants to track your smartphone to prevent credit card fraud</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/02/12/visa-wants-to-track-your-smartphone-to-prevent-credit-card-fraud/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
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		<wfw:commentRss>https://gigaom.com/2015/02/12/visa-wants-to-track-your-smartphone-to-prevent-credit-card-fraud/feed/</wfw:commentRss>
		<slash:comments>3</slash:comments>
	
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		<media:content url="https://gigaom2.files.wordpress.com/2014/10/516484959.jpg?quality=80&#38;strip=all&#38;w=150" medium="image">
			<media:title type="html">credit card on a smartphone mobile payments gerneric</media:title>
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		<media:content url="https://0.gravatar.com/avatar/0544c4b228f8fa80e31bb952501cd7a4?s=96&#38;d=retro&#38;r=PG" medium="image">
			<media:title type="html">kfitchard</media:title>
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		<item>
		<title>Meet Myriad, a new project for running Hadoop on Mesos</title>
		<link>https://gigaom.com/2015/02/11/meet-myriad-a-new-project-for-running-hadoop-on-mesos/</link>
		<comments>https://gigaom.com/2015/02/11/meet-myriad-a-new-project-for-running-hadoop-on-mesos/#comments</comments>
		<pubDate>Wed, 11 Feb 2015 19:00:29 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[big data]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[cluster management]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Hadoop]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Mapr]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Mapr]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Mesos]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[Mesos]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Mesosphere]]></category>
		<category domain="https://search.gigaom.com/company/"><![CDATA[Mesosphere]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[open source]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[Structure Data 2015]]></category>
		<category domain="https://search.gigaom.com/tag/"><![CDATA[YARN]]></category>
		<category domain="https://search.gigaom.com/technology/"><![CDATA[YARN]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=914185</guid>
		<description><![CDATA[Hadoop vendor MapR and data center automation startup Mesosphere have created an open source technology called Myriad, which is supposed to make it easier to run Hadoop workloads on top of the popular Mesos cluster-management software. More specifically, Myriad allows the YARN resource scheduler — the linchpin [&#8230;]<p>
	<a href="https://gigaom.com/2015/02/11/meet-myriad-a-new-project-for-running-hadoop-on-mesos/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Meet Myriad, a new project for running Hadoop on Mesos</a> originally published by <a href="https://gigaom.com/">Gigaom</a>, &copy; copyright 2015.
</p>
<p>
	<a href="https://gigaom.com/2015/02/11/meet-myriad-a-new-project-for-running-hadoop-on-mesos/?utm_source=feed&#038;utm_medium=feed&#038;utm_campaign=feed">Continue reading&hellip;</a>
</p>
<img alt="" border="0" src="https://pixel.wp.com/b.gif?host=gigaom.com&#038;blog=14960843&#038;post=914185&#038;subd=gigaom2&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>https://gigaom.com/2015/02/11/meet-myriad-a-new-project-for-running-hadoop-on-mesos/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
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			<media:title type="html">The old static partition.</media:title>
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