Hemang Upadhyay

AI has the power to transform every function in your organization—but only if it's tailored to your unique needs. This panel discussion will share a practical framework for building and scaling AI solutions that align with your teams, goals, and growth trajectory.

• Develop an AI strategy that fits your organization’s structure, maturity, and priorities

• Align marketing, sales, product, and operations around shared AI-driven goals

• Customize AI use cases to improve team efficiency, decision-making, and customer outcomes

• Avoid common pitfalls of “one-size-fits-all” AI tools that fail to scale

In this case study, Hemang Upadhyay shares how a global enterprise scaled AI and analytics from experimentation to production across complex digital platforms to drive measurable growth. The session highlights practical applications including intelligent search, conversational automation, and data-driven experimentation that improved customer engagement, reduced friction, and increased conversion. Attendees will learn how analytics-driven roadmaps, cross-functional operating models, and governance frameworks enable sustainable AI adoption and continuous optimization at enterprise scale.

• Optimizing end-to-end customer journeys to reduce friction and increase digital conversion at enterprise scale
• Using product analytics and experimentation frameworks to prioritize roadmap investments and validate impact
• Applying production-grade AI today, including intelligent search, conversational automation, and personalization
• Building operating models, governance, and culture that sustain data-driven growth and scalable AI adoption