Mastering Enterprise AI: Why Some Projects Succeed While Others Fail

AI may be the most capable intern your organization has ever hired. However, interns still need guidance and clear direction. Enterprise AI is proving no different. In this episode of The AI Forecast, Paul Muller sits down with Michael Gray, CTO of Thrive, to explore the patterns and anti-patterns emerging from real-world enterprise AI deployments.  Drawing on his experience helping organizations implement AI at scale, Michael offers a practical framework for evaluating AI maturity, helping leaders understand where adoption breaks down and what it takes to build momentum across the organization.  Paul and Michael take a closer look at: Why AI adoption often stalls despite significant technology investments The role of organizational change management in successful AI programs Common AI adoption patterns and anti-patterns across enterprises How champions inside the organization can accelerate AI success How governance and security evolve as AI scales The importance of focusing on business outcomes rather than technology alone The path from AI investment to business value is often more complex than expected. This episode offers advice on turning AI investments into measurable outcomes while building the organizational foundations for successful scaling.  To hear more about the organizational challenges facing AI adoption, check out Ep 69 | Industrial Enterprise AI: Growing Value and Organizational Risk Management  Stay in touch with Michael: Michael Gray on LinkedIn: https://www.linkedin.com/in/michael-gray-4861663/ +++ Like and subscribe to The AI Forecast, sponsored by Cloudera, to stay up to date on the latest episodes. You can watch the video version of this episode on The AI Forecast.