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Speaker "Matthew Denesuk" Details Back

 

Topic

How Big Data, AI and Deep Learning are Transforming Enterprise & Industrial Systems

Abstract

Big Data, AI, and Deep Learning have been combined to generate enormous accomplishments, both technical and commercial, in the last several years.  This is embodied in advancements in such areas as self-driving cars, natural language understanding, facial recognition, and even strategic games.  But traditional Enterprise and Industrial Operations have generally not seen the effects of these advances, due to some fundamental differences in the very structure and diversity of the operational systems involved, as well as the kinds and volumes of data available. This presentation will clearly outline these differences, and then describe how they are now being overcome. Several case studies relating to heavy manufacturing, supply chain & logistics, and inventory management will be described.  Key principles for leveraging the latest advances in AI and Deep Learning to make Enterprise and Industrial systems work much more efficiently and effectively will be summarized.

Profile

Matt Denesuk has devoted his life to using math & data to make the world work better. He is currently the Chief Data Science Officer of Noodle.ai, which is working with large enterprises globally to bring the latest AI technologies to make them increasingly data driven, software defined, and constantly improving. Prior to Noodle, he was the Chief Data Science Officer at GE, and the GM of their Data Science Center of Excellence, where he built a global data science consulting and product organization devoted to making “Industrial IoT” real for GE and its customers. Prior to that, Matt led Smarter Planet Modeling & Analytics at IBM Research, where he led analytics-based programs in Financial Optimization, CRM, Social Media, Text Analytics, Environmental Management, and Industrial Operations Management. He was also a Partner in IBM’s Venture Capital Group focused on Analytics, and spent time leading new business incubations from the Research Labs. Prior to IBM, Matt was an entrepreneur in the consumer goods space, and a University Professor. Matt has B.S., M.S., and Ph.D. Degrees from MIT and the University of Arizona.