AIOps to Drive Big IT Pivot
AIOps takes the vast amounts of machine data generated by IT infrastructure and ingests, monitors, and analyzes it to ultimately predict issues before they occur.
Self-driving cars and medical advances may grab all the headlines, but artificial intelligence is being applied to any number of less high-profile applications across a variety of industries. Perhaps the most unsung and yet closest to home for IT organizations comes in the form of " AIOps."
That could be because applying artificial intelligence to IT operations is still an emerging area, so it hasn't garnered much attention. Yet.
But early indications are that this is a growing area. It's too small for the Magic Quadrant treatment at Gartner, but in August 2017, Gartner issued a Market Guide for AIOps platforms. And Forrester Research is said to be working on a Forrester Wave report on Cognitive Ops, slated to be released in 2019.
In its Market Guide, Gartner defines AIOps platforms as software systems that "combine big data and AI or machine learning functionality to enhance and partially replace a broad range of IT operations process and tasks." These platforms ingest data from a variety of sources, store the data, provide access to the data, and enable data analytics at the point of ingestion and in storage.
It's really a natural fit. The vast quantities of machine data generated by infrastructure hardware and software is too much for humans to analyze in a timely and cost-effective manner. But apply machine learning and other AI to all this data, and you may be able to predict potential equipment issues, detect security vulnerabilities, and more, perhaps in real time.
Gartner said the goal of the analytics effort is to discover patterns that enable the prediction of incidents and the detection of usage patterns so that IT can diagnose the cause of problems and prevent them in the future. Ultimately the goal would be to predict a problem and take action before the problem actually occurs.
The Gartner definition of AIOps includes three major functions in IT -- monitoring, the service desk, and automation.
Andi Mann, chief technology advocate at Splunk, a machine data monitoring and analysis software provider, told InformationWeek in an interview that these emerging systems bring together big data, machine learning, and automation to enhance monitoring, service delivery, and continuity of business operations "so much more than what we are used to seeing from traditional monitoring tools."
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