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Speaker "Milind Naphade" Details Back

 

Topic

Distributed ML, the Pervasive Edge, Fog and Cloud Architecture for IoT

Abstract

Machine learning is becoming pervasive in all analytics and decision support systems whether it is at the Edge, FOG or Cloud. Every IoT node, FOG node will be smarter and smarter by Machine Learning, Deep learning and Neural networks algorithms. It is very complex to run
 Machine Learning algorithms at the edge such as sensors, and video cameras. This session  will provide practical use cases and architectural guidelines on usage of Machine Learning at Edge, FOG and Cloud. A case study of Cisco’s solution will demonstrate power of Machine Learning at the Edge, FOG and Cloud.

Profile

Dr. Milind Naphade is the Director of the Cognitive Systems organization at Cisco and leads the Cognitive strategy for Cisco. Milind is an acclaimed and award winning leader in the field of machine learning and cognitive computing for over two decades. He is also a strategic thinker in the application of machine learning in solutions that work at scale. Milind holds a Ph.D. in Electrical and Computer Engineering from the University of Illinois at Urbana Champaign. Prior to joining Cisco, Milind spent 14 years in various individual research and development leadership roles at IBM Research. As the founder of the IBM Research THINK Labs and from his career at IBM, Milind is known in the industry—and among external partners--as an aggressive innovator and strategic thinker. Most of his work has been focused on research intended to disrupt existing markets. Milind has been a pioneer in multiple company-wide initiatives at IBM including the IBM Research THINK Labs, the IBM Smarter Cities program and many of IBM’s marquee industry vertical solutions in Service Provider, Travel & Transportation, and Media & Entertainment. Milind led the team that created the first IBM Smarter City, the first large scale cognitive environment in the IBM Research THINK Labs, the first large scale metropolitan time of day origin destination model of how people move in large urban environments like Istanbul, and the first semantic video search solution. Milind has deep expertise and hands-on experience with technologies that will shape the future of Cisco’s customers, including artificial intelligence, machine learning and data mining techniques and has more than 140 patents and peer reviewed conference and journal publications in this space. Milind’s work has won 4 industry awards, 9 corporate awards and 4 est paper/thesis awards. He has created 15 cognitive computing products and assets in various industry verticals and solutions