Is AI Governance Data Governance?
Join Andrea Isoni, Chief AI Officer at AI Technologies and international AI advisor, for a conversation with Actian’s Chief Evangelist, Ole Olesen-Bagneux, on why AI governance builds on the foundations of data and security governance.
Date: September 22, 2026
Time: 5:00 PM – 6:00 PM CEST | 11:00 AM – 12:00 PM EDT
Format: Live Webinar (with audience Q&A)
Register Now!
This is Episode 8 of Data, Explored, Actian’s webinar series spotlighting real conversations about the future of data, governance, and AI.
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About the Webinar
AI governance has quickly become a boardroom priority. As organizations deploy generative AI, autonomous agents, and intelligent automation, they face growing pressure to ensure these systems remain trustworthy, transparent, and accountable. But here’s the question:
Is AI governance really an entirely new discipline? Or should it build on decades of experience in data and security governance?
In this episode of Data, Explored, we welcome Andrea Isoni, Chief AI Officer at AI Technologies, to explore how these three governance domains intersect. Andrea defines AI governance as the operational layer that continuously validates how AI systems behave—Not only at deployment, but as models, data, tools, and risks evolve over time.
Rather than treating every AI failure as an AI problem, organizations must determine whether the root cause lies in the model, the underlying data, the security controls, or a combination of all three.
Topics Explored
- How AI governance builds on, and differs from, data and security governance
- Why AI governance requires continuous testing, validation, documentation, and incident response
- How models, retrieval systems, and AI agents introduce new oversight requirements
- Which governance activities can be integrated, and which should remain separate
- What practical steps organizations can take to build governance frameworks that scale with enterprise AI
Who Should Attend?
This session is designed for leaders responsible for building trusted AI capabilities across the enterprise:
- Chief Data Officers and Chief AI Officers
- Data governance and AI governance leaders
- Enterprise and data architects
- AI platform and ML engineering leaders
- Risk, compliance, and technology executives
Featured Speakers
Andrea Isoni
Chief AI Officer, AI Technologies | Speaker & Advisor | Author
Andrea Isoni is a physicist, AI executive, author, and international speaker specializing in artificial intelligence, automation, and governance. He holds a PhD from Imperial College London and currently serves as Chief AI Officer at AI Technologies, where he helps organizations adopt and scale AI solutions. Andrea has advised leading investment and innovation organizations, including Wa’ed Ventures (Saudi Aramco), Antler, and Capital Enterprise, and contributes to the development of global standards through his work with IEEE and ISO committees. He is the author of Machine Learning for the Web (Packt) and writes the Human on AI newsletter. A sought-after speaker, Andrea has presented on AI and governance at international events and has been invited to advise governments on AI strategy and policy.
Ole Olesen-Bagneux
Chief Evangelist, Actian | O’Reilly Author
Ole Olesen-Bagneux is a globally recognized thought leader in metadata management and enterprise data architecture. As VP, Chief Evangelist at Actian, he drives industry awareness and adoption of modern approaches to data intelligence. Ole is the best-selling author of Fundamentals of Metadata Management (O’Reilly, 2025) and The Enterprise Data Catalog (O’Reilly, 2023). With a PhD in Library and Information Science from the University of Copenhagen, he brings a unique perspective that bridges information science and modern data management.
