DATE: October 13, 2016 This webinar has passed. The recording is available On Demand.
TIME: 2 PM Eastern / 11 AM Pacific
PRICE: Free to all attendees
About the Webinar
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.
About the Speaker
Adrian Bowles
Founder, STORM Insights, Inc.
Adrian is an industry analyst and recovering academic, providing research and advisory services for buyers, sellers, and investors in emerging technology markets. His coverage areas include cognitive computing, big data / analytics, the Internet of things, and cloud computing. Adrian co-authored Cognitive Computing and Big Data Analytics (Wiley, 2015) and is currently writing a book on the business and societal impact of these emerging technologies. He has held executive positions at several consulting and analyst firms. Adrian also held academic appointments in computer science at Drexel University and SUNY-Bingamton, and adjunct faculty positions in the business schools at NYU and Boston College. He began his career with research and application development roles at IBM and GTE Laboratories. Adrian earned his BA in Psychology and MS in Computer Science from SUNY-Binghamton, and his Ph.D. in Computer Science from Northwestern University.
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