Date: Wednesday, June 12, 2019
Time: 12:00 PM Eastern Daylight Time
Duration: 1 hour
You’ve seen the analysts’ predictions that as much as a third of data centers that fail to employ some form of machine learning in their management portfolios, will cease to be competitive by the end of 2020. But what exactly does that mean — what should data center infrastructure be learning about itself that it doesn’t already know?
This informative webinar will open your eyes to new ways in which machine learning can be distributed throughout data centers, to improve the way they utilize resources and help prevent issues.
You’ll hear from Raritan engineers about how they’re designing power products, environmental sensors, and other intelligent infrastructure solutions for more manageable, more productive monitoring and data gathering. You’ll see how power usage can be attributed to individual workloads, and how data center operators can become better informed on power usage and data center health.
Finally, you’ll learn how you can put machine learning to work in your data center without having to take a deep dive into science fiction. Join us live, have your questions ready, and be prepared to have your mind changed about the practical opportunities of machine learning in your data center.
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Scott M. Fulton III
Scott M. Fulton, III (@SMFulton3) is a 33-year veteran journalist, author, and editor for the world's most respected publishers for news, the information technology industry, and education. You can find his byline on some of the world's most respected technology sites, including the ZDNet Scale blog and on The New Stack.
As a contributor to Data Center Knowledge, Scott provides insightful coverage of news, events, and developments pertaining to the design, implementation, and management of large-scale data centers worldwide.
Paul Mott is global technical product manager of power solutions at Raritan.