Beyond the Hype: Promise, Peril, and Payoff of Agentic AI

Agent-based systems and Agentic AI are becoming popular again, but some of the challenges and issues discussed decades ago are still unsolved. The notion of intelligent agents doing work for you is very compelling and it has caused euphoria many times before. In this talk I will describe key features of agents, what kind of problems they are suited for, and what are some of the perils or pitfalls to avoid, and how to generate value.
Who is this presentation for?
Business Audience
Prerequisite knowledge:
Familiarity with AI
What you'll learn?
• Different agent paradigms and their pros and cons • What kinds of problems agents are suited for • Some of the pitfalls and how to avoid them • Environments needed to test and validate agentic systems

Dr. Bipin Chadha has over 25 years of experience in leading and developing advanced analytics, AI, simulation, and optimization models to solve challenging business problems for a broad range of industries. He has spent the last 15 years in the financial services industry applying data science and AI to insurance, banking, and wealth management use cases. As the SVP of Data Science for CSAA Insurance Group, which provides AAA-branded insurance in 23 states, he is responsible for data and model governance, advanced analytics, and data science. He established and leads the data strategy and the data office for the organization. He has helped establish and led data science practice at several organizations and has won several awards and patents for analytical models, and chatbots. Earlier in his career he was involved in several modeling, AI, and Multi Agent Systems programs for DARPA and other R&D labs. With a recently published book on machine learning and over 50 papers in international conferences and journals, Bipin is frequently invited to speak at industry events. He received his PhD from Georgia Tech, a MS from Southern Illinois University, and a BE degree from IIT-Roorkee. Passionate about education, he enjoys teaching and mentoring students from diverse backgrounds.