According to Gartner, enterprise usage of AIOps is set to surge from a mere 5% in 2018 to a whopping 30% in 2023. To survive in an increasingly competitive market, MSPs must not only respond well to customer expectations but anticipate them. Another Gartner report states that by 2025, over 80% of public cloud managed and professional services deals will require both hybrid and multi-cloud capabilities from the provider, up from below 50% in 2020.

AIOps or Artificial Intelligence for IT Operations refers to a set of technologies that augment human decisions with autonomous decisions driven by AI and machine learning that learn patterns, relationships from data. AIOps is the term originally coined by Gartner, and pictorially illustrated in the following way.

One of the core value propositions of AIOps platforms is to increase IT efficiency & productivity by applying AI & ML techniques to perform Alert Noise Reduction. This in turn translates to direct cost reduction due to savings in IT man-hours. In this approach, the AIOps platform kind of becomes like a gatekeeper for all the IT alerts/events, and it can help effectively, reduce and correlate such events, so as to send meaningful incidents to NOC or Service Desk.