DevOps & AI: Do we still need ITIL Change Management?
In the era of DevOps, application development and IT Operations leaders face ever-increasing demands to be more agile. Unfortunately, traditional IT Change Management processes can be more of a bottleneck than an enabler of agility. Case in point: if your Change Management processes and teams are like most, your reaction to the recent crisis was probably a change freeze.
So, is it time to finally ditch ITIL Change Management and fully embrace DevOps? This is probably the wrong question to ask. A better question would be: how can AI-powered analytics, like Change Risk Prediction, bridge the gap between ITIL and DevOps?
Learn how recent advances in AI-powered analytics can help you adopt ITIL 4 best practices, realize the benefits promised by DevOps, and retain the discipline of ITIL. Join guest speaker George Spalding, Pink Elephant Executive VP, and Joe Foley, Numerify Insights Architect, to learn how:
- The shortcomings of traditional ITIL v3 make it incompatible with DevOps
- ITIL v4 and DevOps complement and enhance each other
- The Change Advisory Board’s role must evolve in a DevOps world
- AI and Machine Learning can help find and eliminate root causes of change failure at all stages of the DevOps ellipse