Data

Application-performance monitoring startup AppDynamics now has a real-time analytics service called Application Analytics, it said Monday. The service lets organizations analyze all of their application and transactional data so that IT staff can spot errors and management can make better business decisions. In July, the startup landed $120 million in funding, highlighting the hot application-monitoring space market in which companies like New Relic and AppNeta compete. New Relic recently unveiled its own real-time analytics service called Insights.

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Strava, an app that tracks athletes’ runs, rides and routes using GPS from a smartphone or watch, has raised $18.5 million led by Sequoia. Sigma West and Madrone Capital Partners also participated in the round, bring Strava to $50 million raised in all. Strava is an interesting company because it’s providing a service to the athletes that download the app, but also anonymizes and then uses the data it collects to help cities like London understand where natural pedestrian and riding routes are. This is a great example of how the internet of things makes it possible to collect cheap and actionable data.

Twitter has open sourced a tool that it uses to detect spikes in time-series data, in order to make sure it’s able to react to issues with its servers, applications or other systems that might affect the site’s performance. The company also uses the tool, which is an R package called BreakoutDetection, to track large upticks in engagement during big events such as the Super Bowl. According to a blog post detailing BreakoutDetection, Twitter created it in order to deal with the mass of data and relative commonality of anomalies associated with running large-scale systems.

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The Google-owned artificial intelligence outfit DeepMind has revealed a partnership with Oxford University that involves a “substantial donation” to set up a research relationship with the venerable institution’s computer science and engineering departments, and the acquisition of two Oxford spin-off startups. One, Dark Blue Labs, is working on deep learning techniques for understanding natural language; it was founded earlier this year by professors Nando de Freitas and Phil Blunsom, and doctors Edward Grefenstette and Karl Moritz Hermann. The other, Vision Factory, was founded by Dr Karen Simonyan, Max Jaderberg and Prof Andrew Zisserman to work on visual object and text recognition, again using deep learning. According to a Thursday post by DeepMind co-founder Demis Hassabis, the three professors will continue working part-time at Oxford.

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