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The impact of artificial intelligence on storage and IT

Now more than ever, organisations are looking to artificial intelligence (AI) and in particular machine learning (ML) to solve complex data challenges and bring new insights and value to an ever-increasing volume of information stored within our business. By Glyn Bowden, SNIA Cloud Storage Technologies Initiative Member; Chief Architect, AI & Data Science Practice at Hewlett Packard Enterprise.

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Introducing Project Astra from NetApp

Persistence. It’s kind of our thing. Introducing Project Astra. The best way to manage application lifecycles in Kubernetes in any cloud and bring your data with you.

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What’s the outlook for HDDs?

Rainer Kaese, Senior Manager, Toshiba Electronics Europe GmbH is looking at the year ahead. What device will win the storage race?

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Fuelling the demand for micro infrastructure

Advancements in IoT and edge-computing technologies will fuel the demand for micro-datacentre and micro-cloud environments. To support this growth and the increasing use of edge services; telecoms companies will need to consider new, versatile network architectures and solution offerings. By Joe Hughes, CEO and Founder of MTG.

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If uptime is the new black, edge computing can keep you on trend

Alan Conboy, office of the CTO at Scale Computing, explains how edge computing and hyperconvergence can ensure businesses remain “always-on”.

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Fujitsu's FUJITSU Storage ETERNUS DX200F system is said to deliver the benefits of...
Solution brings hyperconverged and edge computing to government agencies.
Cloudian, a provider of enterprise object storage systems, has joined Cloud28+, a Hewlett Packard...
Manhattan Associates, the leading supply chain and omni-channel commerce solutions provider, uses...
NetApp has acquired StackPointCloud, a leader in multi-cloud Kubernetes as-a-service and a...
Spectra Logic has published its annual “Data Storage Outlook” report, which explores how the...
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Modernising Oracle with converged infrastructure

Customers who adopt Dell EMC VxBlock technology experienced 99% less planned and unplanned downtime according to a study by IDC.

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