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Marc
Esmiley
Head of Product, Financial Services Studio, Commercial Engineering
Microsoft
Marc Esmiley is a senior Data and AI leader at Microsoft, with extensive experience at the intersection of technology, financial services and digital transformation. He currently serves as Head of Product, Financial Services Studio, Commercial Engineering at Microsoft, where he leads a global team focused on strategic co-innovation, co-engineering and product development with major financial-services customers. With a career spanning technology and financial services, Marc has built and led large-scale digital transformation initiatives, developed customer-centric products and helped organisations apply emerging technologies to complex, highly regulated environments. His expertise encompasses AI, data, cloud computing, fintech, product management and digital transformation, with a particular focus on turning new technology into practical business outcomes. Marc has been closely involved in Microsoft's work with LSEG, helping financial-services organisations modernise their data estates and build AI-enabled products. His work has included Microsoft Fabric, Azure AI, Copilot Studio and Purview, with a focus on trusted data, governance, AI readiness and accelerating product development.
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01 December 2026 13:45 - 14:30
Panel - Everyone’s building faster. Who’s building better? Product judgment in the Age of AI.
Ideas become prototypes in hours. Products evolve overnight. Agents are starting to decide and act on our behalf. But building faster doesn’t mean building better. As products shift from tools people use to systems that act for them, the hard question changes: what deserves to exist, when is it ready, and will people trust it enough to rely on it? That trust is earned or lost in the quality of what AI generates, and customers notice every time it falls short. Drawing on new research into how AI is reshaping product development, and on the first-time moments that defined earlier technology shifts, our panel explores why judgment gains value as creation becomes cheap, what human evidence should inform it, and what it takes to build AI experiences people come back to.