Ashtaang AI – Eight Layers of an AI Stack for Complex Ecosystems
Ashtaang AI – Eight Layers of an AI Stack for Complex Ecosystems

Abstract: 

Data Science - with a wide variety of learning paradigms, well understood data-to-decision process, scalable infrastructure and platforms for training and inferencing, and applications across a wide variety of domains and data types - has matured quite well.
While we have mastered the art of building and deploying “individual models” well, the complex ecosystems of the future - Telecom, Retail, Manufacturing, Smart Cities, etc. - will require us to think systematically about a whole “Architecture of AI” for such complex systems.
In this talk, we will explore the eight (Ashtaang = eight parts) different types of AI capabilities needed to complete an end-to-end AI Stack. Components from such an AI stack form the building blocks of an “AI Architecture” for complex ecosystems.

Bio: 

Dr. Shailesh Kumar is currently the Chief Data Scientist at the Centre of Excellence in AI/ML, Reliance Jio. Prior to this he worked as a Distinguished Scientist at Ola cabs, Chief Scientist and Co-founder of Third Leap, an EdTech startup, Researcher in the Google Brain team, Sr. Scientist at Yahoo! Labs and Principal Scientist at Fair Isaac Research.

Dr. Kumar has 18 years of experience in building AI solutions in a variety of domains including Web, Retail, Finance, Remote Sensing, Fleet Management, Computer Vision, Knowledge Graph, and Conversational computing. He has published over 20 international papers and book chapters and holds more than 20 patents in AI/ML. He was recognised as one of the top 10 data scientists in India in 2015 by Analytics India Magazine. Dr. Kumar holds a Masters and PhD in AI from UT-Austin and B.Tech. in Computer Science from IIT-Varanasi.