Stop repeat outages: Save millions by eliminating change-related incidents
Stop change-related incidents with AI-powered change management and proactive governance that boosts reliability while reducing IT operations costs
Every incident carries a price tag, from wasted engineering time to lost revenue and customer trust. Eighty-five percent of IT incidents are caused by changes. These changes result in wasted resources and firefighting, and stall IT teams’ progress toward strategic goals.
What if leaders could access a new approach to traditional IT change management, automating analysis and enabling centralized governance for strategic growth? Well, it's possible. A new BigPanda white paper, Derisking IT Change Management with Agentic AI, examines why the IT change management process is breaking down and how enterprises can modernize change risk management to prevent incidents and reduce downtime.
In this webinar, you will learn:
- Research from the white paper and real customer stories of revamping change programs with AI.
- How AI can be used to identify risky changes and surface mitigation strategies.
- How a proactive approach improves reliability and establishes clear governance.
- What to look for in a modern IT change management system.
Discover how leading enterprises turn reactive firefighting into a scalable, cost-saving strategy for IT operations.
Speakers
Adam Blau
VP of Product Marketing
BigPanda
Adam Blau is the VP of Product Marketing at BigPanda, where he partners across the business, customers, and the market to define the future of ITOps, helping organizations automate L1 operations, accelerate incident management, and predict and prevent outages. He is a frequent speaker on agentic ITOps, AIOps, and observability, and lives with his family in Asheville, NC.
Jason Walker
Chief Innovation Officer
BigPanda
From starting his career as a United States Marine Corps helicopter pilot to becoming the Chief Innovation Officer of BigPanda, Jason brings skill and professionalism to any situation, regardless of scale, speed, or complexity. Jason is driven to help customers accelerate their AIOps journey by leveraging practical applications to enhance operational performance and ignite transformative growth. He previously served as BigPanda Field CTO and then as Chief Customer Officer. Jason spent 10 years at Activision-Blizzard, leading its ITOps transformation to support multiproduct, always-online global gaming services with an AIOps-driven centralized OpsCenter. His positive experience as a BigPanda customer there convinced him to become a Panda himself.
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