By 2021, IDC’s Worldwide CIO Agenda 2019 Predictions expects that 70% of CIOs will invest in machine learning and data science techniques for greater agility and innovation in IT operations management. In an AI-enabled future, enterprises will increasingly rely on advanced analytics to address a variety of IT operations use cases, including problem recognition, impact analysis, anomaly detection, root cause analysis, and incident resolution.

A recent survey from Capgemini revealed that while enterprise-scale automation is still in its infancy, IT automation projects are moving along (below). IT is starting to view automation less tactically, and more strategically.

This blog covers the industry press for OpsRamp’s State of AIOps Report. We’ll be reviewing the findings from this report in our upcoming webinar, The State of AIOps For Incident Management and Beyond on Wednesday, May 15th.

With the adoption of agile microservices, enterprise IT teams have rapidly transitioned from managing pets (physical and virtual servers) to cattle (public cloud services) to now chickens (containerized infrastructure). Container platforms like Docker and container orchestration engines like Kubernetes are helping IT operators drive greater agility, portability, and flexibility for scaling, managing, and optimizing microservices architectures.

As OpsRamp continues the steady drumbeat of how AIOps can transform IT operations management, the industry continues to validate our positioning with recognition, press, and more. Three recent analyst reports highlighted OpsRamp’s modern digital and IT operations management platform for dynamic performance insights and maximum visibility. The company’s inclusion in these reports validates the growing need for a unified digital operations command center.

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.