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MIT recently reported that 95% of GenAI projects are failing, but not because of the technology itself.
In this episode, Kyle Hall and Kyle Gotzman dig into why so many organizations can’t get their AI pilots out of the lab.
The answer isn’t innovation, it’s foundation. From data quality and process discipline to governance and patience, they explore how companies that mastered the basics years ago are now reaping the rewards of AI, while others struggle to make progress.
They also discuss what it means to “earn the right” to adopt new technology, the difference between moving fast and moving forward, and how preparation, not speed, creates real transformation.
By ResourciveMIT recently reported that 95% of GenAI projects are failing, but not because of the technology itself.
In this episode, Kyle Hall and Kyle Gotzman dig into why so many organizations can’t get their AI pilots out of the lab.
The answer isn’t innovation, it’s foundation. From data quality and process discipline to governance and patience, they explore how companies that mastered the basics years ago are now reaping the rewards of AI, while others struggle to make progress.
They also discuss what it means to “earn the right” to adopt new technology, the difference between moving fast and moving forward, and how preparation, not speed, creates real transformation.