Topic: : Creating an Enterprise Data Governance Strategy for the AI Era
Abstract: As organizations accelerate AI adoption, the quality, availability, security, and integrity of enterprise data have become critical to successful AI outcomes. AI systems are only as reliable as the data they consume, making effective data governance essential for organizations seeking to scale AI responsibly while managing security, privacy, compliance, and operational risks. The current webinar explores how organizations can build a modern enterprise data governance strategy designed for the AI era. It will examine how traditional governance approaches must evolve to address AI-specific challenges, including data lineage, ownership, classification, access controls, data quality, privacy, regulatory requirements, and the use of sensitive data in AI models. The session will also explore the relationship between data governance, AI governance, cybersecurity, and regulatory compliance, providing a practical framework for aligning these disciplines. Join us to gain insights into how to establish a clear data ownership and accountability, strengthen data quality and lineage, implement appropriate controls for AI data usage, and create governance processes that support both innovation and risk management.
Key Takeaways:
- Building an enterprise-wide data governance framework
- Data quality, integrity, and availability for AI
- Data ownership, stewardship, and accountability
- Data classification and protection for AI workloads
- Data lineage and traceability
- Privacy and regulatory considerations
- Access control and secure data usage
- Managing sensitive and high-value enterprise data
- Connecting data governance with AI governance
- Preparing enterprise data for scalable and responsible AI adoption
Speaker:
Dr. Jonathan Reichental, CEO of Human Future, Professor, and Author
Bio: Dr. Jonathan Reichental is a multiple-award-winning technology leader and educator, whose career spans the private, public, and academic sectors. He’s been a senior software engineering manager, a director of technology innovation, and has served as chief information officer (CIO) at both O’Reilly Media and the City of Palo Alto, California. Reichental is currently the founder of advisory, investment, and education firm, Human Future, and also creates online education for LinkedIn Learning and Coursera. In academia he is a professor at the University of San Francisco and several other universities and colleges. He has a regular column in Forbes and has written many books including Smart Cities for Dummies, Exploring Smart Cities Activity Book for Kids, and Data Governance for Dummies.
