VIKRAM K
SENIOR DIRECTOR, DATA CENTER AND HYBRID CLOUD, HPE INDIA
“In current environments, IT departments face a mounting pressure to resolve the most complex and unique challenges plaguing the datacenter which account for 80% of the pain IT is facing today.”
CIOs and IT Leaders care about one thing: They want their applications to be always, and instantly, available. The challenge is, that’s not always the case - we call these slow-downs the “app-data gap.” The cause of app-data gap slow-downs is hard to track down because they come from the overall infrastructure complexity - from the storage to the app, and all of the interactions in between. Using predictive analytics, machine learning and AI to fundamentally predict and prevent these problems businesses face in their infrastructure is exactly what the new recommendation engine and HPE InfoSight technology does.
How will Artificial Intelligence transform enterprise IT infrastructures?
Bringing elements of AI to enterprise IT infrastructures enables an autonomous datacenter. The autonomous recommendation engine and HPE InfoSight that HPE just announced will transform how IT infrastructure is managed and supported. IT infrastructures will be smarter and more reliable through cloud-based predictive analytics and machine learning that will tells the customer how to avoid problems, improve performance and optimize resources.
Where does the main advantage lie with autonomous datacenters?
This story is from the January 2018 edition of Enterprise IT World.
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This story is from the January 2018 edition of Enterprise IT World.
Start your 7-day Magzter GOLD free trial to access thousands of curated premium stories, and 9,000+ magazines and newspapers.
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VIKRAM K SENIOR DIRECTOR, DATA CENTER AND HYBRID CLOUD, HPE INDIA“In current environments, IT departments face a mounting pressure to resolve the most complex and unique challenges plaguing the datacenter which account for 80% of the pain IT is facing today.”
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