Generative AI in Financial Services: A Perspective from Thrivent's Chief Data Officer

In a recent interview at MachineCon 2023, Sravan Kasarla, the Chief Data Officer for Thrivent, a purpose-driven company offering insurance, investments, and financial advice, shared his insights on the emergence of generative AI in the financial services industry. He discussed the opportunities, risks, and regulatory aspects associated with the adoption of this technology.

The Shift to Generative AI

Kasarla began by acknowledging that generative AI is disrupting every industry, not just financial services. He noted that financial services companies have been analytically driven for a long time, with statistical modeling and machine learning playing crucial roles in pricing and risk assessment. He sees generative AI as the next step in this evolution.

Opportunities and Use Cases

Kasarla identified several "no regrets" use cases for generative AI in financial services. He sees significant potential in processes that involve risk assessment and evaluation, such as underwriting. Generative AI can provide comprehensive summaries for decision-makers, enhancing the efficiency and accuracy of these processes.

In addition, Kasarla highlighted the potential of generative AI to improve client experience. It can enable better recommendations, generate marketing content, and facilitate regulatory compliance. For instance, as an insurance company, Thrivent has to respond to insurance commissioners in all 50 states and other regulators. Generative AI can automate these tasks, improving overall productivity.