Accelerate velocity & boost stability with AIpowered Change & Release Management

Presented by

Amit Shah, Product Director, Numerify

About this talk

In today’s volatile environment, your customers, partners, and employees are more dependent than ever on your ability to deliver reliable digital services. To rise to the challenge, Change and Release Management leaders must balance competing priorities for speed and reliability.  Unfortunately, traditional Change Management processes struggle to balance the need for increased change frequency and shorter lead times with the risk of IT service disruptions. At the same time, Release Management must ensure that the higher volume of deployed changes doesn’t cause unexpected issues. The result is that in the face of increased volatility, organizations often resort to a change freeze.  How can AI-powered Change and Release Management improve the quality, availability, and performance of these mission-critical services? Join Amit Shah, Numerify Product Director, to learn how to: - Use DevOps, IT Service Management, APM, and other data to fuel Change and Release Management success - Predict risky changes and identify root causes both upstream and downstream of change with Machine Learning - Find and eliminate the systemic causes of change failure across people, process, and technology - Apply these principles today, like your peers in Fortune 500 organizations Get started, even if you don’t have data scientists in your organization

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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.