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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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Pure FlashRecover, Powered by Cohesity, is said to be the industry’s first jointly-engineered...
Scale Computing has given details of the successful implementation of their patented HyperCore...
The annual report examines current and future trends in storage technologies for the long-term...
Rackspace is warning retailers to get their websites ready for predicted traffic spikes after 83...
Legacy systems to be replaced by Software Defined Mainframe.
Industry's most flexible backup solution also includes enhanced data management platform, and cloud...
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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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