AI is scaling faster than the controls designed to govern it. As models multiply, data sources sprawl, and decisions become increasingly automated, traditional governance frameworks are hitting a breaking point. In 2026, governance is about real-time control.
This webinar explores how leading organizations are modernizing data governance to keep pace with AI-driven operations. We’ll examine how to maintain visibility, accountability, and policy enforcement across complex AI ecosystems – without slowing innovation or burying teams in manual oversight. You’ll see how data intelligence becomes the connective tissue between governance, risk, and AI execution.
Die wichtigsten Erkenntnisse:
- How to establish continuous visibility into data used across AI models and pipelines
- Ways to enforce governance policies dynamically as AI systems evolve
- Strategies for assigning accountability and ownership across decentralized AI teams
- How data discovery and classification power scalable, defensible AI governance
Governance at AI scale starts with knowing your data: automatically, continuously, and everywhere it lives.
Redner:
- Dan Hansen, Technischer Beratungsdirektor, BigID
- Fred Descloux, Director of Privacy, Data Security and GRC, NU Skin