An Architecture For Artificial Intelligence Storage
TheNextPlatform, July 13th, 2020
July 26, 2020,
Volume 268, Issue 4
As we've talked about in the past, the focus on data - how much is being generated, where it's being created, the tools needed to take advantage of it, the shortage of skilled talent to manage it, and so on - is rapidly changing the way enterprises are operating both in the datacenter and in the cloud and dictating many of the product roadmaps being developed by tech vendors
"Automation, analytics, artificial intelligence (AI) and machine learning, and the ability to easily move applications and data between on-premises and cloud environments are the focus of much of what OEMs and other tech players are doing. And all of this is being accelerated by the COVID-19 pandemic, which is speeding up enterprise movement to the cloud and forcing them to adapt to a suddenly widely distributed workforce, trends that won't be changing any time soon as the coronavirus outbreak tightens its grip, particularly in the United States.
OEMs over the past several months have been particularly aggressive in expanding their offerings in the storage sector, which is playing a central role in help enterprises bridge the space between the datacenter, the cloud and the network edge and to deal with the vast amounts of structured and - in particular - unstructured data being created. That can be seen in announcements that some of the larger vendors have made over the past few months. Dell EMC has bolstered its storage portfolio to address the needs of today's enterprises..."
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