Jennifer Hobbs

VP, Data and Analytics, Lead Data Scientist Zurich North America

Jennifer Hobbs, PhD is the Vice President of Data and Analytics at Zurich North America where she serves as a trusted technical expert charged with evolving the data science roadmap for their AI efforts. Her teams work to develop and implement AI/ML models and systems to support business use-cases. Recently these teams have been focused on using the latest advances in Large Language Models (LLMs), Generative AI, and Agentic AI to enable greater search, analysis, and understanding of Zurich's vast amount of structured and unstructured data. Additionally, she supports the responsible AI efforts and provides guidance around regulatory and compliance surrounding AI.

Responsible AI Summit North America: Day 2 - Wednesday, June 24, 2026

2:30 PM Presentation – When Everyone Can Build AI: The Hidden Risks of Democratised Modelling

The democratization of AI tools means that building models is no longer the hardest part. When modelling capabilities spread across an enterprise, new challenges emerge around governance, risk, model reliability, and responsible use. Jennifer Hobbs, VP, Data and Analytics and Lead Data Scientist at Zurich, explores the practical realities of enabling wider AI access while maintaining strong oversight, particularly as agents and automated systems begin to participate in modelling and decision workflows. She highlights the common traps organizations fall into and what users actually need to understand.

Recognising the risks behind widespread AI and model democratization.
Understanding what users must know before building or deploying models.
Navigating governance challenges as agents and automated systems scale.

Check out the incredible speaker line-up to see who will be joining Jennifer.

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