What The Heck Is AIOps?
A quick primer on the new technology rewiring IT—and why you need to get onboard.
AIOps – Consider the cloud.
The term has been with us since the 1990s, but perhaps first entered the public consciousness back in 2010, when Microsoft launched its “We’re All In” ad campaign to raise awareness of its cloud computing services.
Back then, there was a distinct sense that the cloud was overhyped. That it was yet another marketing buzzword. Now, the cloud is a given.
There’s a similar discussion about AIOps today. Once again, some people are skeptical. But I predict that AIOps is destined to follow the trajectory of the cloud. Organizations will quickly learn that they can’t remain competitive without it.
Just like the cloud, AIOps is going to rewire IT. And now it the time to get onboard.
AIOps puts IT in the lead
Just to make sure were on the same page, let’s define AIOps.
AIOps stands for “artificial intelligence for IT operations,” and it exists to make IT operations efficient and fast by taking advantage of machine learning and big data. That’s the opposite of how many IT operations departments work today, struggling with manual processes and heavily siloed tools that don’t share data.
Why is AIOps so important? Because, powered by the cloud, businesses are digitizing at unprecedented speed. The pace and scale of change is staggering. And IT operations just can’t keep up. There’s too much complexity and too much to manage. With SaaS apps and cloud services, business units are bypassing IT altogether—and this has been going on for years.
AIOps flips the script, giving IT the speed it needs not only to keep up, but to lead from the front.
With AIOps, your IT operations team doesn’t have to dig through thousands of events from siloed monitoring tools, spending hours correlating disconnected data to identify impacted services and the root cause of failures. Instead, they immediately see a small number of actionable alerts and impacted services on a single console.
Teams can quickly access appropriate historical and real-time context, providing valuable shortcuts to issue diagnosis and resolution. They can also see how similar issues were remediated in the past and can even remediate issues automatically.
Taken together, these AIOps capabilities significantly lower MTTR, reduce the number of major incidents, and increase operational efficiency.
AIOps is ready for prime time
While the transformative promise of AI has yet to materialize in many parts of the business, AIOps is different.
AIOps doesn’t need a staff of data scientists or AI translators. It doesn’t need a major reorganization like many other large-scale AI initiatives. In fact, AIOps is the perfect pilot for other organizational AI initiatives, building sponsorship beyond IT as it transforms IT operations—which in turn transforms the business.
Here at ServiceNow, we’ve seen great results with AIOps. For example, we used to have a huge number of VPN outages. Given our remote workforce around the world, this caused major employee frustration. Once we implemented AIOps, we reduced our VPN outages by 900 hours a year and reclaimed 1,000 hours in employee productivity—reducing lost time from 1,400 hours to just 400 hours.
Results like this explain why the global market for AIOps tools is expected to grow from $2.5 billion in 2018 to more than $11 billion in 2023, according to a study by ReportBuyer.
This article originally appeared on forbes.com To read the full article and see the images, click here.
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