More from this series:
- Scaling AI Governance: Enterprise Playbooks for Data and IT Leaders
- The Future of AI Governance: Forecasting the Next Five Years
- Building a Framework for AI Assurance
- The Right to Explanation: Meeting Regulatory Demands for Interpretable AI
- Synthetic Truth: Governing Generative AI in High-Stakes Domains Abstract:
- Governance for Multimodal AI: Text, Vision, Voice, and Beyond
About the Webinar
AI governance is saturated with jargon – but clarity is power. This session will cut through the noise to clarify what terms like “responsible AI,” “explainable AI,” “synthetic content labeling,” and “modality risk” really mean in practice. We’ll separate the marketing gloss from the actionable frameworks, equipping practitioners to speak with clarity and confidence in cross-functional conversations.
Our Partners
About the Speakers
Lisa spent the last several decades building data management, analytics and AI capabilities at a Global Fortune 150 Company. In addition, she held multiple technology leadership roles, including Network, Application Development and Point of Sale.
Lisa has a unique ability to assess business needs and bring creative, sustainable and value add solutions to market. She excels at making technology accessible and championed in an environment that allows analytics and data science capabilities to be leveraged by business teams directly, without IT intervention. This approach was developed in conjunction with robust literacy and data governance programs to ensure safe use of internal and external data at scale.
Lisa’s deep understanding of multiple business functions; manufacturing, finance, marketing, sales and procurement allow for holistic, enterprise solutioning.
Where Online Conversations Become Real-World Connections
Join us this May in San Diego for DGIQ + EDW 2026—where the insights you hear online turn into hallway conversations, meaningful connections, and collaborative breakthroughs. Experience the energy, the people, and the momentum that only happens in person.
