In this special guest feature, Paul Scully, a Vice President at Grok, believes that sometimes it’s easier to look at what NOT to do in order to find an AIOps solution that will work for your company. Read on to learn more about what to avoid when it comes to finding an AIOps platform that will benefit your company. With 20 years of deep expertise in helping IT Organizations improve the reliability and efficiency of their infrastructure, Grok is intently focused on building the industry’s most innovative platform to bring the best of Machine Learning to IT Operations Management.
As data grows, so, too, does the AIOps market. Forrester reports 68 percent of companies surveyed have plans to invest in AIOps-enabled monitoring solutions over the next 12 months. And Gartner estimates the size of the AIOps platform market at between $300 million and $500 million per year. It poses the question – if you are going to spend millions on AIOps platforms and integrate them into your critical systems, how do you know what to look for?
Sometimes it’s easier to look at what NOT to do in order to find a solution that will work for your company. Read on to learn more about what to avoid when it comes to finding an AIOps platform that will benefit your company.
If you are looking for significant short-term benefits from an AIOps platform for IT Operations Management (ITOM), you should be wary of solutions that require replacing large portions of your current systems. Organizations that take a “throw the baby out with the bathwater” approach to implementing AIOps find themselves bogged down with too much to do because these projects focus on replacing much of the existing toolset. In reality, this approach only increases the complexity, cost, and timing of deploying machine learning in IT Operations.