Intel’s data center chief talks machine learning — just don’t ask about GPUs

If you want to get under Diane Bryant’s skin these days, just ask her about GPUs.

The head of Intel’s powerful data center group was at Computex in Taipei this week, in part to explain how the company’s latest Xeon Phi processor is a good fit for machine learning.

Machine learning is the process by which companies like Google and Facebook train software to get better at performing AI tasks including computer vision and understanding natural language. It’s key to improving all kinds of online services: Google said recently that it’s rethinking everything it does around machine learning.

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Cloud Computing

IDG Contributor Network: Tidemark goes verticals, machine learning and benchmarking

Tidemark delivers enterprise performance management (EPM) software. What that esoteric acronym means is that Tidemark helps organizations take internal data they already have and use it to plan the future steps they will take, but also to assess the historical performance of their organization. Tidemark was founded only a few short years ago (in 2009, to be precise) but has already raised close to $ 120 million from a host of investors over multiple rounds. Tidemark is a good example of a new breed of cloud vendor, those that were born into a world already comfortable with cloud-based enterprise tools such as Salesforce and NetSuite. Because of this fact, Tidemark hasn’t had to invent a category; rather it has the somewhat easier job of delivering an existing product category but in new and beneficial ways.

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