AI adoption in IT operations is accelerating, but many organizations are still navigating the gap between early experimentation and measurable outcomes. New research from Omdia, based on a survey of 385 IT and data professionals, highlights a clear shift: enterprises are moving beyond copilots toward more autonomous, agentic AI, driven by rising complexity, cost pressures, and the need for more efficient operations.
Join Jim Frey, Principal Analyst at Omdia and Ryan Manning, Chief Product Officer at BMC Helix as they explore what these findings mean in practice—and where organizations should focus next. This session will go beyond the data to examine how leading teams are applying agentic AI within real operational environments, connecting workflows, data, and automation to drive meaningful outcomes.
Together, they’ll discuss:
- Why complexity and cost efficiency are the top drivers shaping AI adoption in ITOps
- How organizations are progressing from copilots to more autonomous, governed AI systems
- The growing importance of cross-domain orchestration across IT operations
- Why security, privacy, and governance are becoming central to AI strategy
- How to move from experimentation to measurable impact, with metrics that matter