More data Stories
In Brief

A new research project from Carnegie Mellon University, funded by a $2.6 million grant from the National Science Foundation, aims to make microchips smarter and more efficient by analyzing the data they collect about themselves. The Statistical Learning in Chip project is focused on developing an integrated machine learning engine that can help chips dynamically manage their resource consumption and keep it at optimum levels. This would make the chips, and the devices running on them, more energy-efficient, resulting in longer battery life and cooler operating temperatures.

Upcoming Events

In Brief

IBM has opened a new research lab in San Jose, Calif., called the Accelerated Discovery Lab. Its purpose is to bring together subject matter experts in key areas — the company cites drug discovery, social analytics and predictive maintenance (aka the industrial internet) — with the data and tools they need to make new discoveries in their fields. For IBM, which has billions in revenue riding on these industries, the more it can prove its worth to them, the better.

In Brief

San Juan Capistrano, Calif.-based startup Cirro is betting that there’s real value in piles of data scattered across corporate data stores, and it has closed an $8 million series A round from Toba Capital, Frost Venture Partners and Miramar Venture Partners to help test its hypothesis. Its platform invokes a SQL-based analytic engine that hits all of a companies various data stores — including big data stores such as Hadoop and NoSQL databases — while carrying out queries.

In Brief

TransLattice, a Santa Clara, Calif.-based startup selling a geographically distributed relational database system, has acquired Red Bank, N.J.-based cloud-database startup StormDB. Both companies are pushing production-grade, distributed OLTP systems and the Postgres-based StormDB has some of its own IP around MPP analytics and geospatial data. It seems this means StormDB will stop taking new customers but, according to an FAQ on its site, “TransLattice will honor commitments to current StormDB customers.”

loading external resource
In Brief

Intel joins other major companies such as GE and Qualcomm in promoting a platform for the internet of things. The chip giant says that it will offer a Wind River-based IoT platform and detailed several ways that its own use of sensors and data analytics have saved it money on the manufacturing floor. It plans on pushing both Atom and Quark processors for this platform and offered details on the upcoming Quark family of processors as well as a new Atom SoC. The first Quark processor core is a 32-bit, single core, single-thread, Pentium-compatible CPU operating at speeds up to 400MHz.

In Brief

Teradata has upped the capabilities of its Teradata Aster big data platform by adding in a native graph-processing engine called SQL-GR. Not a bad idea considering the increased attention around graph processing lately, as well as the need for an aging Teradata to keep up with (or ahead of) of the Joneses in the big data space. And Teradata’s SNAP Framework — which ingests a query and then decides the right processing engines and data stores to invoke — is pretty sweet in theory.

On The Web

Execs are talking about measuring tweet volume and the reach of those tweets, but isn’t the real value in figuring out what people think? It’s not worth touting that 200,000 people tweeted and 4 million people saw those tweets if the overall sentiment is that the show sucks. But given the history of shows such as “Arrested Development,” 20,000 of the right people tweeting about how great something is might be worth noting even if ratings aren’t high.

In Brief

Hadoop startup WibiData has updated Kiji, its open source project that aims to make HBase a better (or easier) database for serving real-time applications. Among the updates in its latest SDK is an improved version of the KijiScoring feature. “Developers can now pass per-request settings to producer functions, greatly expanding the flexibility of real-time predictive model scoring. For example, a user’s current geolocation from mobile application can be factored in when re-computing which offers or recommendations to serve a user,” explains a press release.

In Brief

Guavus, a San Mateo, Calif.-based startup that specializes in analyzing the data coming off carrier networks, has hired former NetApp EVP Manish Goel as CEO. Goel replaces Anukool Lakhina, who founded the company and will stay on board to help drive its technology strategy, among other things. Guavus has raised $87 million in capital and claims some major wireless carriers as customers of its software that helps tie customer data to network activity.

alex_paris2

Ahead of our Mobilize event Oct. 16 and 17, we asked experts how 50 billion connected devices and 6 billion people change their industry. In this essay designer Alexandra Deschamps-Sonsino tackles the topic of privacy. Read more »

In Brief

Yelp has announced the winners of its inaugural Yelp Dataset Challenge, and the four entries it chose actually seem pretty useful. They run the gamut from a technique to highlight key words so users can read reviews faster to helping businesses predict whether they’ll see an uptick in activity on Yelp. Having read countless reviews giving restaurants low ratings even though the food was good, I think the entry that extracts subtopics (e.g., food, service, ambience) from restaurant reviews might be my favorite.

1232425262777page 25 of 77

You're subscribed! If you like, you can update your settings