The OpsRamp State of AIOps report confirms AIOps adoption, use cases and more. Artificial intelligence for IT operations, or AIOps, is still in its infancy. It’s only been a few years since Gartner coined the term, and yet, 30% of IT teams in large enterprises will roll out AIOps initiatives by 2023. Of course, like any new enterprise technology, the jury on measurable AIOps outcomes is still out.

The rise of the hybrid enterprise is wreaking havoc on IT teams. IT service/operations management (ITSM/ITOM) is more challenging than ever, as infrastructure continues to become more complex, more involved, and more resource-intensive.

The second quarter of 2019 started with a bang for OpsRamp, with recognition from two independent analyst firms, 451 Research and IDC. Three recent analyst reports highlighted OpsRamp’s modern digital and IT operations management platform for dynamic performance insights and maximum visibility.

Here's why AIOps, which combines big data, machine learning and visualization to deliver greater insights, should be on every enterprise's shopping list.

Today's resource managers and container orchestrators allow us to describe and deploy workloads in a consistent and repeatable fashion. So why are our workloads growing ever more complex?

There is a lot of industry buzz around how AIOps will affect change within IT Operations (ITOps). According to Gartner, Inc., the term “AIOps” describes platforms that combine big data and machine learning to support ITOps. This means that the problems being solved aren’t novel, the approach is. In ITOps or any other business unit, there are two primary constraints: time and money.

We’re proud to launch BigPanda’s Future of Monitoring, IT Operations and AIOps survey – a comprehensive, in-depth look at the current state of monitoring and IT Operations, and where the industry is headed.