Enterprise AI doesn’t fail on model quality - it fails on access. This session uncovers the often-overlooked challenge of getting the right data, tools, and capabilities into the hands of the right people, and explores how leading teams are solving for internal fragmentation, security constraints, and usability at scale. Key learnings: → Identify the systemic access issues that limit AI impact inside large organizations → Explore strategies for bridging gaps between data, infrastructure, and end-users → Learn how to design AI platforms that balance control, security, and accessibility