Heather H. Wilson, Chief Executive Officer of CLARA Analytics, has more than a decade of executive experience in data, analytics, and artificial intelligence, including Global Head of Innovation and Advanced Technology at Kaiser Permanente and Chief Data Officer of AIG. While at AIG, she was named Insurance Woman of the Year by the Insurance Technology Association for her data innovation work. Wilson has been a steady supporter of diversity. She launched the Kaiser Permanente Women in Technology group, focused on mentorship and retention for women in math, technology, and science. At AIG, she launched Global Women in Technology and served as Executive Sponsor of Girls Who Code. In this episode of In the Know, Chris Hampshire and Heather explore the work she has done to empower women in coding and STEM, AI technology advancements, and strategies for addressing talent challenges in today's fast-evolving insurance industry.

Key Takeaways

• Heather's career unfolded in three chapters.

• The current state and application of analytics in today's insurance industry.

• A look into the future of large language model (LLM) technology.

• The application of agentic AI in the claims sector.

• Integrating new and legacy technology platforms.

• Heather's experiences as a female leader in the insurance industry.

• Industry disruption, talent recruitment, and navigating the silver tsunami.

• Data analysts and the insurance industry.

• A five-year look to changing agent and adjuster responsibilities.

• Heather's strategic risk advice to her early career self.

In the Know podcast theme music written and performed by James Jones, CPCU, and Kole Shuda of the band If-Then.

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Quotes

• "At the end of the day, there is an outcome that we're trying to drive for the claimant and for the insurer."

• "AI is helping us take the surprises and get in front of them to handle cases differently."

• "Whether it's a risk or claims system, they really have the opportunity to lead the insurance industry on agentic AI."

• "Data is still king, and so is the orchestration of that data."

• "For super complex cases, people still need to have that human-in-the-loop touch."