IBM's Rometty on Real-World Accomplishments of Watson

The transcript discusses the evolution of IBM's Watson from its Jeopardy debut to its current applications in business. It highlights the shift from programmable machines to AI that learns and reasons. The focus is on business AI, which is trained for specific industries, unlike consumer AI. Key differences include vertical knowledge and data ownership. Real-world examples illustrate Watson's impact in sectors like finance, oil, and weather forecasting.

What percentage of the world's data is searchable according to the discussion?

How does Watson assist in the financial services sector, particularly in handling customer communications?

In what ways has Watson been integrated into weather forecasting and disaster preparedness?