The AI Advantage: How to Put the Artificial Intelligence Revolution to Work

Thomas Davenport studied analytics for decades. He worked with MIT, Harvard Business School, and Babson College. He saw many technology waves. His Al perspective comes from this background.

- Thomas H. Davenport

The book came out in early 2024. It focuses on practical Al implementation. Davenport interviewed leaders at companies that deployed Al. He studied failures alongside successes.

Davenport promotes “augmentation intelligence.” This means Al that helps humans instead of replacing them. For engineers, this means building systems users can understand and trust.

Finding Good Use Cases

Not every problem needs Al. Some problems work better with rules or basic statistics. Davenport gives frameworks for identifying problems where Al adds value.

He provides checklists for evaluating Al opportunities. Does the problem involve lots of data? Are there clear patterns? Can you measure success? These questions help engineers have better conversations with product managers.