Presentation
Agentic AI for z/OS: Trust, Governance, and the Path Forward
Contributors
Event Type
Technical Session
Machine Learning/AI
Systems Management and Automation
z/OS Systems Programming
All Audiences
Modernize Data Management and Analytics
TimeThursday, August 2010:30am - 11:30am EDT
LocationRoom 305
DescriptionAgentic AI promises powerful new capabilities, but only if it is trustworthy, transparent, and well‑governed. In this session, we address the questions that concern you the most: What decisions can agents make? Where does their knowledge come from? How do we ensure transparency, security, and accountability?
You’ll see how enterprise requirements shape agent behavior and why these controls are critical for adoption.
The session concludes with IBM’s z/OS perspective on Agentic AI, including a concrete example of an AI agent in the project Polaris. We’ll also discuss how agents are expected to evolve over time.
What you’ll learn:
- Core principles of Agentic AI governance and transparency
- How data sources and knowledge are provided to agents
- IBM z/OS’s current approach to Agentic AI
- A real agent example and a forward‑looking view of how agents will evolve
You’ll see how enterprise requirements shape agent behavior and why these controls are critical for adoption.
The session concludes with IBM’s z/OS perspective on Agentic AI, including a concrete example of an AI agent in the project Polaris. We’ll also discuss how agents are expected to evolve over time.
What you’ll learn:
- Core principles of Agentic AI governance and transparency
- How data sources and knowledge are provided to agents
- IBM z/OS’s current approach to Agentic AI
- A real agent example and a forward‑looking view of how agents will evolve
Contributors
Architect of z/OS AI Core Infrastructure. STSM z/OS Development
Product Manager: AI for z/OS