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Wednesday, March 20, 2019
05:00 PM - 05:45 PM
Very rarely does a single observation (piece of data) contain sufficient evidence to make a fine-grained prediction about opportunity or risk. Organizations attempting to make the most out of what they know must first be able to see how observations relate to other observations. Much like the difference between a lone puzzle piece vs. a picture of connected puzzle pieces – this big picture is essential to better business decisions. More data, in context, makes it possible to lower false positives and false negatives at the same time. While these techniques are useful in marketing and next best action systems, more importantly these techniques are essential in the discovery of skilled criminals. In this presentation, applications of context computing in the hunt for criminal activity will be discussed and with a focus on Big Data and bad guy hunting in the financial services sector.
Jeff Jonas is responsible for shaping the overall technical strategy of next generation analytics for the IBM Entity Analytics group. His innovations have received coverage in such publications as The Wall Street Journal, Washington Post, and have been featured on ABC Primetime with Peter Jennings, and The Discovery Channel. Mr. Jonas is a member of the Markle Foundation Task Force on National Security in the Information Age and actively contributes his insights on privacy, technology and homeland security to leading national think tanks, privacy advocacy groups, and policy research organizations.
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