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      Speakers

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      Dr. Alex Palmer

      Dr. Alex Palmer

      Chief Operating Officer

      DataMasque

      View the agenda

      Alex Palmer is Chief Operating Officer at DataMasque, a data privacy company that enables financial institutions and other enterprises to safely use production-quality data for AI, development, and testing without exposing sensitive personal information. DataMasque is a member of the Monetary Authority of Singapore’s PathFin.ai programme.

      Alex ensures the alignment of DataMasque’s strategy and execution across product, engineering, sales and operations. Before DataMasque, Alex was Head of Strategy at Lightspeed Commerce and Director of Corporate Strategy at Southwest Airlines. Alex also has experience linking various digital and growth strategies with execution through experience advising clients across the US, New Zealand, and Australia in his time at Boston Consulting Group (BCG).

      Alex holds a PhD in Physics from the University of Chicago. His early exposure to data analysis comes from working at CERN and various US National Laboratories.

      Speaking At

      • 1:15–2:45pmTue 17 NovPublic-Private RoundtableRoundtable Room 2Invite-Only

        Global Frameworks, Interoperability & Shared Best Practices

        Open Data: Fuel for Financial AI

        Public-Private RoundtableRoundtable Room 2Invite-Only

        About this session

        While AI is creating new opportunities across financial services, its effectiveness ultimately depends on access to high-quality and trusted data. Building on emerging open data sharing initiatives across the financial sector, this roundtable will explore how financial institutions can collaborate to unlock greater value from data while preserving privacy, security, and trust. Bringing together industry leaders, technology providers, AI practitioners, and policymakers, the discussion will examine practical approaches to data sharing, privacy-enhancing technologies, common data standards, and trusted data ecosystems that can accelerate AI innovation, enable the development of more capable and reliable financial AI models, strengthen risk management, and support the next generation of AI-enabled financial services.