Published on the 22/11/2017 | Written by Newsdesk

More evidence of the IT industry clever-clogs getting rid of their own co-workers?…

That’s potentially one way of looking at news that Hewlett Packard Enterprise (HPE) is introducing what it calls (take a deep breath for this one) ‘the industry’s first artificial intelligence (AI) recommendation engine designed to simplify and reduce the guesswork in managing infrastructure and improve application reliability’.

The product, for that is what it is, is HPE InfoSight. Described in at least one meaningless term – ‘industry-leading’ – HPE in a statement said InfoSight is a ‘predictive analytics platform that brings software-defined intelligence to the data centre with the ability to predict and prevent infrastructure problems before they happen’.

It’s a veritable adjective salad from there on in; the simplified version is that InfoSight uses machine learning to take another step towards an autonomous data centre.

While HPE talks it up, big time, in its statement (and fair enough; it is difficult to do tech product press releases without a good dose of hyperbole), it is ‘another step’ because this sort of thing – automation of data centre tasks – isn’t exactly new. The tools to do bits and pieces of it have long and storied histories, with a legacy going back to the 1970s or before.

And did we say salad? Even though data centre tools number in their thousands, gaps persist, leaving room for clever programmers like Adam Jacob to make new ones. His is called Chef and has been automating data centres since 2009, including HP’s Public Cloud.

But back to HPE. It said businesses today cannot afford any disruptions or delays to their applications, which gives rise to a paradox where the complexity of infrastructure causes an “App-Data Gap”. This, said the vendor, impacts businesses and wastes time.

HPE said it is ‘working to minimise disruptions and lost time through the AI and predictive analytics capabilities of InfoSight, reducing the time spent troubleshooting issues by up to 85 percent’.

How it will do that is by analysing data from its connected installed base, using the resulting information to predict and prevent problems ‘from storage to applications’.

With an ‘AI recommendation engine’, the tool pre-emptively advises how to avoid issues, improve performance, and optimise available resources, said HPE. The recommendations are based on machine learning underpinned by a decade of data science expertise and telemetry collected from more than 10,000 HPE Nimble Storage customers.

“InfoSight marks the first time a major storage vendor has been able to predict issues and proactively resolve them before a customer is even aware of the problem,” said Bill Philbin, Senior Vice President, HPE GM Storage. “As applications increasingly drive today’s businesses, we need to help customers move toward a self-managing IT model. HPE InfoSight enables IT to spend more time on projects that add value to the business rather than on troubleshooting issues.”

Be that as it may. But won’t somebody please think of the data centre nerds?

We did, and take heart from a recent Gartner blog, where it is claimed, “While AI will replace certain tasks that are ripe for automation, it will be a net job creator given it’s unique ability to learn from massive data sets. Gartner predicts that starting in 2020, AI will create 2.3 million new jobs while eliminating 1.8 million jobs.”

So the basements of the future will still be occupied.