
Building the governance foundation for the age of AI agents
AI agents are evolving beyond prompts and responses. They’re starting to support workflow-based use cases, such as identifying duplicate invoices, filling gaps in supplier data, flagging forecast changes, or recommending next steps in service and operations.
For chief data officers, the rise of agentic AI raises an important question: how should data strategy evolve as AI begins to interact with more applications, workflows, and business processes?
This webinar will explore the trends pushing agents closer to action. We’ll also look at the risk of agent sprawl. When teams create agents for different tasks, those agents may rely on different data sources, definitions, permissions, and controls. That can make oversight, consistency, and accountability harder to manage.
Join KPMG and Oracle speakers for a trends-focused discussion on what data leaders may want to consider as people, applications, and agents begin working together.
You’ll learn
- Where AI agents are beginning to show up across the business, from finance and supply chain to service and operations
- Why permissions, governance, and workflow design matter as agents move closer to action
- How CDOs can help reduce the risks of agent sprawl as adoption grows
Who should join: CDOs, VPs, directors, and leaders responsible for data, analytics, AI, governance, and data operations.
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Meet the Speakers

Meredith Giffin
