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Shub
Agarwal
VP & Head of AI Strategy and Deployment
GoodRx
Shub A. is an AI executive, Professor of AI at USC, and Founder of the USC AI Trust Lab. He is the author of Successful AI Product Creation (Wiley, 2024) and holds 10+ US patents in Generative AI and Machine Learning. Across his career at Amazon, Fortune 50 companies and regulated financial services, Shub has delivered more than $2B in quantified business impact through AI products. His work focuses on moving AI from experimentation into production while building the trust, governance and evaluation frameworks needed for responsible, enterprise-grade AI.
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24 September 2026 09:15 - 10:00
Panel - The great product reset: Leading in the agentic AI era
Generative AI may have captured the headlines, but agentic AI is poised to fundamentally reshape how products are built, experienced, and monetized. As autonomous agents move from experimentation to real-world deployment, product leaders face a new set of challenges: rethinking user experiences, redesigning product architectures, redefining team structures, and establishing new measures of value and trust. In this panel discussion, senior product executives will explore how leading organizations are adapting their product strategies for an era where AI can act, decide, and execute on behalf of users. Panelists will share practical lessons on what needs to be rebuilt, and what should remain unchanged, as product teams prepare for the next wave of innovation. Key takeaways: - Understand how agentic AI differs from traditional generative AI and why it represents a major shift for product strategy. - Learn which aspects of the product experience, operating model, and technology stack require the most significant rethinking. - Discover how leading organizations are balancing innovation, trust, governance, and customer value. - Explore new opportunities for growth, differentiation, and competitive advantage in an AI-first market. - Gain practical insights for preparing your product teams, roadmaps, and organizations for the agentic future.