Hitachi preparing AI for enterprise storage

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Storage technology, if industry visionaries are correct, will enable magical advancements in analytics, big data, and the Internet of Things--but there's another story to tell by going the other direction to see what these applications can do for the storage. Storage arrays typically grow bigger and faster on a fairly consistent basis, but in the past few years they've also started growing smarter. There is plenty of precedent. There has long been intelligence inside individual drives. More recently, machine learning started coming to data center racks, not unlike the smart refrigerators found at Best Buy.


49 Machine Learning Resources and Related Articles from Top Bloggers

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HPE InfoSight to add support for partners' storage products

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Hewlett Packard Enterprise plans to extend its InfoSight predictive analytics platform to partners' third-party storage products as part of its core strategy to deliver artificial intelligence operations, or AIOps, to customers. Milan Shetti, CTO of the vendor's data center infrastructure group, said HPE InfoSight would support not only its own server and storage technology, but also third-party products from storage partners, such as Qumulo, Scality and WekaIO, in "short order." Shetti noted that InfoSight was storage-specific when HPE acquired the technology in 2017 through its $1.2 billion purchase of Nimble Storage. But HPE InfoSight now spans the vendor's storage portfolio and compute platform, as well as VMware, Microsoft and KVM virtual machines and container technology. In an interview, Shetti discussed general enterprise storage trends, his company's storage strategy for partnerships and acquisitions, and his vision for the HPE InfoSight predictive analytics technology.


3 Cloud Trends to Watch Out for in 2018

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Cloud computing has dominated the business world this year, and the trend will only continue into 2018. Thanks to the many benefits cloud computing provides, private cloud solutions, cloud data centers, platforms, and infrastructure as a service has come into its own. Startups and small and medium enterprises have been quick to take advantage of this. But as the year winds down, companies are starting to turn their thoughts on how they can further take advantage of cloud technology next year. To that end, here are cloud trends to watch out for in 2018.


49 Machine Learning Resources and Related Articles from Top Bloggers

@machinelearnbot

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