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The interest in adding Artificial Intelligence (AI) and Machine Learning (ML) to business models is fast gaining momentum as organisations look to find patterns within their data that can deliver greater business and customer intelligence, and predict future trends. As Gartner highlights, the number of enterprises implementing AI tripled in the past year. However, with Gartner also claiming that more than 30% of data centres that don’t deploy AI and machine learning won’t be operationally...
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By J.P Gownder, VP & Principal Analyst, Forrester.
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While the whole point of automation is to make your life easier, getting it off the ground can be a challenge. It’s not as if you just decide, “Hey, we’re going to automate our network now!” and then you follow a fool proof, well-defined process to implement network automation across the board. You have to make many decisions that require long discussions, and downright difficult and careful thinking about how you’re going to automate. By Pete Lumbis, Technical Evangelist Cumulus...
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Today’s IT infrastructure is a hybrid environment on many levels: a cacophony of legacy architecture, coupled with new technologies and architectures across private and public clouds. It is almost impossible for operations teams to effectively manage all of these disparate elements without the business at some point suffering from performance issues or worse, outages. By David Cumberworth, MD EMEA, Virtana.
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By Rachel Rothwell, Regional Director Southern Europe and UK at Zyxel.
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By Karen Inbar – Director of Marketing, NICE Advanced Process Automation Solutions at NICE.
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