AIOps' Certainty in an Uncertain Future
May 05, 2022
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Mohan Kompella, VP of Product Marketing at BigPanda, answers the question: How can AIOps contribute to greater achievement in global enterprises?

What is AIOps? (And what does Gartner have to say about it?)

Mohan’s succinct definition of AIOps is "the use of AI and machine learning in the area of IT Operations." While there has been plenty of buzz about AIOps over the last couple of years, AI isn’t just hype anymore, and AIOps isn’t just hype either. It’s an effective way for enterprises to "get a handle on the tsunami of overwhelming data, noise, tickets, etc." says Mohan. Gartner supports the drive to AIOps, even going so far as to say that it’s the future of IT Operations.

The Cloud has Broken IT Operations

With too many alerts, tickets, notifications, and problems, IT Operations is not equipped to handle the move to the cloud. As enterprises onboard more microservices and digitally transform, the influx of data and noise grows.

Without using AI in IT Operations, or in other words, without using an AIOps platform, IT Operations can’t keep up. But with AIOps, IT Ops teams can introduce automation to improve productivity and better drive digital transformation projects. Mohan points out that they find the biggest bang for their buck by starting with AIOps focused on event correlation and automation.

Why Event Correlation Automation?

Sitting at the center of the AIOps stack, event correlation and automation delivers three vital improvements for enterprises:

■ Dramatic improvement in operational efficiency, including cost reduction

■ Significant improvement in performance and availability of critical apps and services

■ Increase in organizational velocity and agility

One thing is for certain: AIOps will be leading the IT Ops charge.

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