Jeff Jonas, Former IBM Fellow and Chief Scientist of Context Computing
Jeff is an acclaimed data scientist who thrives on solving some of the world’s most complex business challenges. His systems extract useful intelligence and tackle high-profile challenges including identifying potential terrorists, detecting fraudulent behavior in casinos, connecting loved ones after a natural disaster, and earlier detection of surprise asteroids, to name a few.
A former IBM fellow, Jeff is most well known for creating Non-Obvious Relationship Awareness (NORA) – a sophisticated application which integrates diverse data sources allowing Las Vegas casinos to better understand with whom they were really doing business- helping address world-class problems, e.g., early detection of fraud for a financial services company, saving them $200M to date.
His work in Las Vegas also played a role in defeating notorious card count teams as depicted in the bestselling book by Ben Mezrich, Bringing Down the House, and the movie 21 starring Kevin Spacey. Most recently Jonas was profiled as a Big Data innovator in a National Geographic profile entitled “Decoding Jeff Jonas, Wizard of Big Data.”
Big Data. New Physics. and Geospatial Data Is Analytics SuperfoodDownload Agenda
Day 1, 5:10pm