It has been five years since IBM’s Watson soundly defeated the all time human champions of the television game show Jeopardy! Watson has evolved since then, and other modern AI/cognitive computing technologies and platforms have emerged, but we still find that most people who watched the Jeopardy! tournament have no idea how Watson actually won. Some think Watson was almost magical – as in generalized artificial intelligence – while others see it as a clever parlor trick that simply exploited high speed search of massive data sets.
In this webinar, participants will learn about the strategies, algorithms, and some of the subsystems that were developed to generate and test hundreds of hypotheses and rank confidence in potential answers within three seconds. We will also look at some of the challenges inherent in representing terabytes of data to optimize analysis, and discuss opportunities to leverage deep QA in consumer and enterprise applications.
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