Part 5/14:
Importantly, Cooper highlights that AI’s successful deployment relies heavily on interdisciplinary collaboration. Developing AI solutions involves data scientists, engineers, domain experts, and business leaders working in tandem. He visualizes this as a grid where projects are prioritized based on their business value and technological complexity, ensuring resources are focused on solutions that maximize impact without unnecessary complication.
He further notes that AI is just a tool—an instrument in a broader toolkit of problem-solving approaches. Not every challenge warrants AI; sometimes traditional statistical or epidemiological methods are more appropriate and efficient.