I see it daily in my role, IT organizations are paying for best-of-breed monitoring tools but struggle to tie the pieces together between these siloed systems. The wound of these silos is further punctured when incidents arise. Incidents are costly for so many reasons, like wasted company resources, potential revenue loss, customer satisfaction, employee burnout, etc. This is exactly why BigPanda exists, to apply AI to the complex problems IT operations, NOC, SRE, and DevOps teams face daily.

In the modern IT era, most organizations are heavily on their IT infrastructure to stay relevant and competitive. However, managing complex IT systems can be a daunting task, as the volume of data grows and IT environments become more heterogeneous. To address these challenges, many organizations are turning towards artificial intelligence for IT operations (AIOps)—an approach that leverages AI and ML to streamline IT operations, improve efficiency, and reduce downtime.

IT people know that data is king, especially in optimizing IT operations. However, figuring out which metrics to collect and how to collect them can be challenging. IT teams have to factor in what IT directors, team managers, and the people overseeing operations want, what they’re concerned about, and what they consider important.