August 17 - 19, 2026
Austin Marriott Downtown, Austin, TX
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. He was recently recognized as Global Top 100 in data, analytics, and AI.
As many carriers make their first steps into AI governance, it is important to look ahead and ensure your organization’s knowledge centers are structurally ready to eventually handle near 100% employee AI usage. This means regularly cleaning, updating, and cataloguing data to be ready for consistent AI/LLM queries and referencing.
With the rapid advancement of agentic AI, we at CSAA have positioned ourselves to leverage it mostly for supporting human decisions and automating routine tasks. Agentic architectures can offer some unique advantages that also come with their associated challenges. Agentic architecture is not well suited for every problem, so understanding where to apply them is critical for success. This session introduces a simple, practical prototype designed to help us understand what agentic AI can realistically deliver today and where limitations exist.
Key Takeaways:
Check out the incredible speaker line-up to see who will be joining Bipin.
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