About the Webinar
What does AI governance look like in practice? In this session, enterprise leaders will share their hard-won lessons on establishing data governance structures, securing leadership buy-in, and embedding AI risk management into existing processes – from data governance to AI evolution, data readiness to full maturity. We’ll also highlight common pitfalls, practical frameworks, and tips for scaling governance beyond pilot projects.
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.
