Stream: Magny-Cours
Time: 12:15 - 13:00
Mainframe data powers critical business processes, but managing it across increasingly hybrid environments creates complexity. This session explores how AI agents can help teams understand, manage, and govern data across mainframe, cloud, and distributed systems. Learn how agents can apply context to detect anomalies, support data movement and optimization, enforce policies, and coordinate data management tasks across platforms—helping organizations make critical mainframe data more accessible and actionable without compromising governance or control. What You’ll Learn • How AI agents can support data management across mainframe, cloud, and distributed environments. • How agents can apply context to anomaly detection, data movement, optimization, and policy enforcement. • How agent-assisted data workflows can improve accessibility and efficiency while maintaining governance and control.
There is currently no attachment for Putting Mainframe Data to Work with AI Agents Across Hybrid Environments
Anthony DiStauro is a Distinguished Engineer and Chief AI Architect for BMC’s AMI portfolio, where he leads the technical vision, architecture, and strategic direction for the next generation of AI-powered mainframe solutions. Working across product, engineering, and executive leadership, he helps translate emerging AI technologies into scalable enterprise capabilities and differentiated solutions. A multi-patent recipient, Anthony is recognized for developing forward-looking technologies and for his ability to connect deep technical expertise with long-term business strategy. His work spans enterprise AI, agentic systems, platform architecture, and mainframe modernization, with a continued focus on responsible innovation, architectural excellence, and real-world adoption. Beyond his technical leadership, Anthony is a prominent advocate for enterprise AI and a trusted voice with customers, analysts, and industry leaders. Through webinars, podcasts, analyst briefings, executive discussions, and global customer engagements, he shares practical insights on AI adoption, the evolution of autonomous and agentic systems, and the expanding role of the mainframe in the AI-driven enterprise.
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