Winning the Game of Agentic AI & The Hidden Truth About Model Governance with Kevin Petrie
    October 30, 2025
          
    
    
      
    
          
        The only thing worse than not using Agentic AI in today’s day and age is using it badly! If you want to avoid the chaos that often accompanies Agentic AI and enjoy its perks to the fullest, tune into the latest episode of Bringing Data and AI To Life with host Nick Dobbins, VP and Worldwide Field CTO, Informatica. In this episode, he welcomes Kevin Petrie, VP of Research and Head of Data Management Practice at BARC, to explore the transformative impact of Agentic AI on modern enterprises. Kevin shares invaluable insights on architecting for AI success, implementing effective governance frameworks, and managing the proliferation of AI agents across organizations. 
From practical strategies for metadata management, to balancing human oversight with automation, this conversation delivers essential guidance for data leaders navigating the evolving landscape of AI implementation.
      
    
                  
          
In a world that’s seeing the rise of Agentic AI, you want to avoid the chaos and be more cruise control in the space. Tune into the latest episode of Bringing Data and AI To Life as host Nick Dobbins, VP and Worldwide Field CTO, Informatica welcomes Kevin Petrie, VP of Research and Head of Data Management Practice at BARC, to explore the transformative impact of Agentic AI on modern enterprises.
What You’ll Learn
- How to adapt data architecture for agentic AI through three critical lifecycles: DataOps, ModelOps, and AgentOps
- Why human oversight remains crucial in AI governance, even as automation increases
- The framework for managing data, model, and agent governance simultaneously for risk mitigation
- How to build trust in AI systems through strategic metadata management and semantic layers
- The practical approach to scaling AI agents while maintaining control and compliance
- Why emotional intelligence and adaptability are becoming more critical as AI capabilities expand
- How to start small with AI implementation while preparing for future scale
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