Information technology executives around the world are seeking out ways to minimize downtime. Part of that includes choosing an artificial intelligence for IT operations (AIOps) toolset that works for their enterprises. The current landscape is flooded with options, all trying to be the tool of choice for implementing IT operations management (ITOM). Tool variety and coverage become essential in digital infrastructure environments, where a single monitoring tool is insufficient to provide visibility and observability across multiple silos.
Many organizations use between eight and 10 monitoring tools but are unhappy with their existing operational setup. Despite being able to collect an overwhelming volume of data, many insights are still not being processed effectively. Coupled with that is the fact that teams need to frequently deal with alert storms and lack clear event correlations and root cause analyses.