It’s become clear that powerful analytics applied to new data streams are creating huge value in every industry: in healthcare, streaming clinical and patient monitoring data from the hospital; in energy, power utilization and green energy production from across the power delivery network; in retail, sensors transmitting data from every product in the store. The challenge has been that it has required herculean, one-off feats of programming and analytical magic for data scientists and application developers to integrate these data streams, coerce them into an understandable shape, and extract actionable insights from them.
The age of the integrated advanced analytics platform has arrived. It is now faster and easier than ever before to integrate diverse data streams, transform them, build meaningful data science and machine-learning models for them, and then deploy them at scale.
Join Bob Rogers, Intel’s chief data scientist for big data solutions, and special guests to see how Intel’s open source Trusted Analytics Platform has accelerated and simplified the development of powerful analytics that are changing the game in applications as diverse as patient safety, energy delivery network analytics, and real-time inventory management. Learn how the Trusted Analytics Platform has shifted the emphasis in advanced analytics from heroic efforts to heroic results.
This session is sponsored by Intel.
Bob Rogers is chief data scientist for big data solutions at Intel, where he applies his experience solving problems with big data and analytics to help Intel build world-class customer solutions. Prior to joining Intel, Bob was cofounder and chief scientist at Apixio, a big data analytics company for healthcare. There he honed his belief that accurate understanding of patient clinical and genomic data, physician behavior, and the characteristics of the healthcare delivery network are foundational to a better future for healthcare and that big data analytics is essential to driving this transformation.
Bob began his career as an astrophysicist, developing computer models of physical processes near supermassive black holes. He became interested in computational intelligence and incorporated research on artificial neural networks into his academic work. He coauthored the book Artificial Neural Networks: Forecasting Time Series, which led to a 12-year career managing a quantitative futures trading fund based on computer models he developed. In 2006, Bob transitioned into healthcare at Carl Zeiss Meditec, where he was responsible for new product development for the diagnostic device that is the global standard of care for glaucoma. He received his BS in physics at UC Berkeley and his PhD in physics at Harvard.
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