Joel Backaler

In a recent Gartner survey, 89% of CDAOs said effective D&A governance is crucial for business, technology and AI innovation, yet almost 70% find their current D&A and AI governance practices, skills and technology insufficient to drive innovation and business value. This multigroup discussion will focus on sharing experiences and addressing how CDAOs are evolving their D&A and AI governance approaches, building the business case for foundational investments, and designing effective operating models.

Organizations are charged with being more productive, and while AI is an answer to many such opportunities, organization and program structure can be far more impactful on productivity than using AI. This session will weave together data and analytics governance, MDM, and data quality into one organized initiative that will simplify complexity. Join this session to learn more.

Data and analytics governance has historically lagged in innovating. We are at a tipping point where D&A governance can be a single point of failure for AI. To succeed, D&A leaders must evolve governance for the future while reinforcing proven practices. This session provides a forward-looking perspective on D&A governance, including governance of AI, by AI and for AI.