Many AI projects stumble due to poor project framing and a disconnect between data science teams and business objectives. Greg highlights the importance of clearly defining goals and ensuring that the right data is available, as misalignment can lead to solutions that fail to address the actual problems at hand. Understanding these dynamics is crucial for successful AI implementation.
