Prerequisite: None
This session will include a moderated Q&A featuring questions from the live audience.
Data governance programs have moved beyond traditional approaches to reduce friction and drive engagement. At the same time, AI is transforming how we do data governance, as well as creating an urgent need to govern AI itself. In this session, data governance expert Theresa Ancick will outline new and emerging practices for modern data governance programs.
Reduce Friction and Drive Engagement: Learn how governance programs have evolved beyond traditional, rigid processes and controls in order to drive increased engagement, increase trust, and support expansion of data-driven decision-making across the enterprise.
Automate Your Governance Tasks with AI: Discover practical ways to leverage AI for automating repetitive governance work—from data classification and metadata management to policy compliance monitoring—freeing your team for strategic initiatives.
Managing AI-Driven Data Governance Demands: Many companies are struggling to keep pace with urgent data governance requirements generated by AI initiatives. Learn how to manage the governance needs demanded by AI outcomes, establish communication channels for data drift and upstream changes, and keep pace when AI teams are pushing your governance function forward.
Bridge Data Governance and AI Governance: Understand the differences between data governance and AI governance, where these disciplines overlap, and where they differ
Whether you're looking to modernize your governance practice with AI tools or establish governance over your organization's AI initiatives, this session delivers actionable strategies for both.