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Speaker "Gyana Dash" 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

Gyana Dash is a passionate, visionary, and thought leader, with 21 years of experience in building complex software systems/applications to deliver business outcomes in the area of data driven network analytics and rule based expert systems. At Cisco, Gyana is leading several Cognitive Systems of Insights solutions for 'Use Cases' across Data Center, Cloud, IoT and Network Optimization that generates more than 4 billion dollar of annual revenue. Gyana has been a regular presenter and speaker at Cisco, TiE, IoT Evolution Expo and several conferences in past. Gyana has filed seven patents during the tenure of Cisco. Gyana has a Master of Engineering degree in Computer Science, from NIIT, Allahabad, India, with specialization in VOIP Software. Gyana also holds an MBA degree from the University of Phoenix, with specialization in Technology Management. He has a Bachelor of Technology in Electronics and Telecommunication IETE, India. Apart from regular job Gyana has been involved in robotics and STEM activities as mentor/coach/judge since 5 years and has participated international level robotics competitions.