Speakers
Varun Kapoor
Director, Digital Strategy Group (FSI)
Adobe
Varun Kapoor spearhead digital strategy for Adobe's APAC clients, driving transformation and value creation across the region. He plays a key role in crafting innovative financial service use cases, customer journeys, and strategic business reviews that have consistently delivered value for Adobe's license business and enhanced customer success.
Speaking At
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9:45–11:15amMon 16 NovPublic-Private RoundtableRoundtable Room 2Invite-Only
Accountability & Liability In Agentic Systems
Build, Buy, or Own: Strategies for Responsible AI Adoption in Finance
Public-Private RoundtableRoundtable Room 2Invite-Only
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Amith RajanExecutive Vice President, Head of Wholesale Digital Banking, Mashreq & Chief Executive Officer, NeoVenturesMashreq NeoVentures
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Jeremy HorExecutive Director, Enterprise Knowledge DepartmentMonetary Authority of Singapore
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Louise JohnstonDigital Assets & Blockchain, Global PolicyMastercard
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Norbert IzerExecutive Director for Financial Markets & DigitalizationCentral Bank of Hungary (Magyar Nemzeti Bank, MNB)
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Dr. Zhao JingyuanHead, Group Data OfficeOCBC
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Varun KapoorDirector, Digital Strategy Group (FSI)Adobe
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Prof. Heng WangProfessorSingapore Management UniversityModerator
About this session
Financial institutions are moving well beyond experimentation with AI, deploying it across credit decisioning, fraud detection, and everyday employee workflows at genuine scale. But how they get there differs sharply: some are building their own foundation models on proprietary data to avoid depending on external providers with their most sensitive information; others adopt commercial AI tools but wrap them in anonymization and strict governance before sensitive data reaches them; and some capital allocators are treating AI infrastructure itself — compute, data centres, foundation models — as a strategic asset worth direct ownership.
Regulation is catching up fast and unevenly, with major regimes now treating data location and third-party AI access as a risk to be supervised, not just a technology choice. Given the different AI strategies already in motion, what would it actually take to make them interoperable, auditable, and defensible across jurisdictions?
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