AIOps impact on IT analytics: explain it to me like I'm a 5-year-old

AIOps impact on IT analytics: explain it to me like I'm a 5-year-old

Sponsored by: Moogsoft

Haven’t had the time to full understand the rise of algorithmic IT operations (AIOps) nor the inclination to investigate the overall benefits that AIOps platforms can deliver? Fair enough. Sometimes it’s tough to take a break from the daily grind to proactively investigate what’s traditionally defined as “bleeding-edge technology.” We’re here to help, and so is Gartner. Gartner is leading the pack in terms of defining and dissecting AIOps risks and rewards, all of which are conveyed in today’s featured resource available to you at no cost. Download and get an advanced look at the growing impact of AIOps on IT as we reveal: The basic definition of AIOps and what kind of “IT ROI” can be expected. Why it’s poised to end big data pain points once and for all in terms of scale and complexity. What’s driving early adoption and why? (Gartner predicts that by 2019, “25% of global enterprises will have strategically implemented an AIOps platform to support two or more major IT operations functions.”) How AIOps provide advanced analytical capabilities and continuous delivery of proactive insights thanks to automated functionality that lets you “set it but not forget it.” The true benefits of AIOps’ software algorithms, which are capable of processing millions of events in just a few milliseconds thanks to machine-learning capabilities, which are aimed specifically at “assisting humans within IT ops” vs. replacing the IT pro altogether. And much, much more.

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