Little over a month ago, IBM and WellPoint announced an agreement wherein WellPoint will deploy IBM’s latest and greatest super computer and artificial intelligence mega-mind Watson. Watson’s claim to fame was its ability to beat the human Jeopardy champions much like Big Blue beat reigning chess champion Garry Kasparov in 1997. Since that Jeopardy match, IBM has been quite vocal about its desire to apply Watson in the medical arena, we’ve been buried in press releases and briefings, but the WellPoint announcement is the first one of any real consequence. Having interviewed both IBM and WellPoint, following is our review and assessment.
Background:
Watson is a relatively new form of artificial intelligence, based to some extent on neural networks. What is unique about Watson is that it has been developed (trained) to understand the nuances of language. It is a question & answer system that uses among other techniques, natural language processing, to extract meaning out of unstructured data. In developing Watson for the Jeopardy challenge, one of the key design parameters was for Watson to answer a question in under three seconds – plenty fast enough in a diagnosis/treatment decision scenario. This is a key reason why Watson may have enormous utility in the healthcare sector where so much data is unstructured, the pace of change is so high and the ability to chose the optimum treatment patient plan for a given diagnosis is less than ideal today.