Surveys consistently show that 60–80% of AI projects never reach production, and many that do fail to deliver their intended business value. This webinar unpacks the most common failure patterns—the data assumption trap, the proof-of-concept trap, the technology-first fallacy, the change management gap, and the governance vacuum—using real enterprise case patterns to show how they play out in practice. Designed for leaders and sponsors of AI initiatives who want to [...]