AIOps is ready for prime time. While the transformative promise of AI hasn’t materialized yet in many parts of the business, AIOps is different. It 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.
Recently, Tomer Mekhty, ServiceNow’s VP of IT, talked about this point: “In IT operations, we’ve been using AIOps for some time to solve business problems. We’ve found that we don’t need to hire new data scientists to drive AIOps. Instead, we can rely on our existing data analysts and machine learning skill sets.”
Make no mistake: ServiceNow has 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.
So, what is the most important success factor when adopting AIOps? Tomer says it’s a change in mindset. He explains, “What we’ve found is that AIOps needs a cultural change. It’s really about organizational change management. You need to establish a data-driven culture where most decisions are based on data, not experience. And, leaders need to start asking the right questions to drive efficiency. You also need to develop your existing talent or replace skillsets manage the scale and demand.”
So, what are you waiting for? AIOps offers you a proven, pragmatic path to improved service quality, reduced service downtime, and vastly increased operational efficiency. Ultimately, that translates into sustainable business advantage as you run IT at digital speed.