Trends and Priorities in Data and AI Governance
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As organizations feel the pressure to implement AI and generative AI, they are also realizing that they need to govern not only the data that feeds AI, but the AI itself. While data governance ensures that data is well-managed and reliable, AI governance is important for overseeing model performance, fairness, and accountability. Together, these disciplines enable organizations to deploy AI while maintaining control, mitigating risks, and meeting regulatory requirements.
In this session, Fern Halper, Ph.D., VP of Research at TDWI, will share the latest TDWI research on emerging trends and priorities for data and AI governance. She will explore how enterprises are adapting their governance strategies to keep pace with the evolving AI landscape and what steps they can take to build a strong governance foundation for data and AI-driven innovation.
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