AI, Machine Learning, Deep Learning


Key takeaways for participants:


1. Gain an understanding of the fundamentals and business applicabilities of widely adopted disruptive technologies like Artificial Intelligence (AI) Machine Learning (ML), Deep Learning and Robotics.

2. Gain insights, through examples & use cases, about the disruptions, business models, tasks, decision support systems and projections that AI powered apps & systems can bring about in various functional domains of a corporation.

3. Understand the steps involved in the process of deploying AI based tools and apps in one’s organization and also the specializations and skills needed to become an AI professional.


Primary Faculty - Dr. Debashis Guha

Debashis Guha

Dr. Debashis Guha is an expert in quantitative analytics and machine learning and has over two decades of experience in these domains..

He has held leadership positions at U.S. hedge funds, and at research firms in NYC, where he advised financial institutions like Met-Life & Bank of America. He has been a consultant on data-based modeling and forecasting, to MNCs like DuPont and Caterpillar, and to central banks & govts., such as the Ministry of Finance, Spain, Banco de Mexico and Bank Indonesia. He is the founder of a Bangalore, India based data analytics company.

He has taught at the University of Texas and Columbia University and ASCI India and is an Adjunct Professor for the SP Jain School of Global Management, India.

Debashis Guha has a Ph.D. from Columbia University , and a B.Tech. in Electronics & Communication Engg. from IIT, Kharagpur.