AI adoption often starts with excitement and ends in exhaustion. Leaders face a flood of options, conflicting advice, and mounting pressure to deliver results – fast. The result? Disillusionment and stalled initiatives.

Learn how to reframe the conversation: success isn’t about chasing the latest model or tool, it’s about solving real business problems with clarity and confidence. Drawing on research from MIT and industry studies, discover why most AI efforts fail and uncover the human factors that account for the majority of breakdowns. Explore how data quality and governance quietly make or break AI projects and why change management – not just technology – determines whether your investment delivers value.

Gain practical frameworks for aligning AI initiatives to business outcomes, strategies for building trust and skills across teams, and actionable steps to move from confusion to confident execution. If you’ve felt the gap between AI’s promise and its reality, this session will teach you how to close it.

You will learn:

• Identify the root causes of AI adoption failures, including insights from MIT research and why human factors outweigh technical hurdles
• Apply practical frameworks to align AI initiatives with real business problems, ensuring clarity, governance, and measurable outcomes
• Develop strategies for building organizational readiness and trust, leveraging proven change management principles to move from confusion to confident execution