How to Make IT Change Management Smarter and Faster with Artificial Intelligence

Presented by

Charles Betz, Forrester Principal Analyst, and Amit Shah, Numerify Product Marketing Director

About this talk

In the era of DevOps, IT Operations leaders face ever-increasing demands to be more agile. Unfortunately, traditional IT Change Management processes struggle to balance needs for increased change frequency and shorter lead times with the risk of IT service disruptions. Finally, however, new approaches are breaking through, based on a rigorous application of Machine Learning (ML) and predictive analytics. Join this webinar to learn how to apply the latest insights of data science to increase your systems’ stability while delivering the speed of innovation your customers expect. In this webinar, guest speaker Charles Betz, Forrester Principal Analyst, and Amit Shah, Numerify Product Marketing Director, will share: · The past, present, and future of Change Management · The three approaches to scoring change risk · Why an analytics-driven, history-aware approach is essential · How IT Service Management, APM, and other data can fuel an ML-driven IT Change Management success · Case studies of organizations that have successfully implemented these techniques

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Numerify provides IT leaders with a comprehensive system of intelligence for end-to-end visibility into their Plan-Build-Run activities. The suite of analytical applications span project planning, software development, and service and asset management. The company’s cloud-based platform includes full data orchestration, IT-specific business models, and a complete spectrum of analytical capabilities. Numerify provides IT business analytics applications to leading organizations, including companies ranked in the top 5 across 10 major industries. For more information, visit or follow @numerify.