As AI rapidly evolves, so does the debate around AI governance vs. data governance. Should they be managed separately—or integrated under one unified framework? In this insightful session, we explore real-world examples, like Microsoft’s split approach, and examine the pros, cons, and organizational trade-offs of managing these governance functions independently or together.
Drawing from in-depth research, global frameworks, and a six-hour workshop recently delivered in Washington, Dr. Irina Steenbeek talk sheds light on why AI is fundamentally data—and why alignment between governance frameworks is increasingly crucial. It also introduces a compelling case for including risk governance as a third critical pillar.
Interested in learning more? Watch the full webinar, Reimagining Data Governance for Faster Business Outcomes, here: https://snowplow.io/events/reimagining-data-governance-for-faster-business-outcomes