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Suryakant Nayak
Head of Data Asia
Julius Baer
Suryakant Nayak is Head of Data Asia at Julius Baer, responsible for shaping the region’s data strategy and advancing its Data & AI governance agenda. He focuses on building trusted and sustainable data capabilities, enabling data to serve as a strategic asset for business transformation while navigating evolving regulatory expectations. He previously co-led the Data & AI Working Group for the MindForge 2 consortium, contributing to industry-wide collaboration and the development of the Artificial Intelligence (AI) Risk Management Toolkit.
Speaking At
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12:00–1:30pmMon 16 NovPublic-Private RoundtableRoundtable Room 3Open
Accountability & Liability In Agentic Systems
Financial AI Builders: Scaling Innovation in Regulated Markets
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Deep ThomasChief Data & Analytics OfficerJPMorgan Chase
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Jessie SawHead of Product Management, Global Payments SolutionHSBC
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Lee Wan SieCluster Director (AI Governance & Safety), IMDA; Executive Director, AI Verify Foundation & Head of Policy, AI Safety Institute
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Mark CzajkowskiChief AI and Data Officer, AsiaManulife
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Matthew SeeRegional Head, Risk & Business AnalyticsDBS Bank
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Maxim AfanasyevJAPAC FSI HeadGoogle Cloud
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Mike HsuFormer Acting Comptroller of the CurrencyMLCommons
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Richard LoweMD, Chief Data & Analytics Officer, APACSMBC
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Dr. Rick GohResearch DirectorA*STAR IAIC
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Yip Shue HengManaging Director, Head of Asia Digital StrategyMUFG Bank, Ltd.
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Suryakant NayakHead of Data AsiaJulius Baer
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Alan LimDirector & Head, Financial Infrastructure & Artificial Intelligence OfficeMonetary Authority of SingaporeModerator
About this session
The next phase of AI in finance will not be defined by better models alone, but by institutions that can successfully embed AI into regulated business processes at scale. From compliance and risk management to customer servicing and agentic finance, AI is creating new opportunities to transform how financial services are designed, delivered and supervised. As institutions explore frontier AI capabilities, the challenge is no longer just building AI solutions, but operationalising them responsibly while maintaining trust, resilience and accountability.
Many financial institutions face similar challenges in developing, evaluating and deploying AI, yet often tackle them independently. Through BuildFin.ai, financial institutions, technology providers and research institutes are collaborating to develop and scale frontier AI capabilities within established regulatory and risk management frameworks. This includes the development of the MindForge AI Risk Management Toolkit, which provides practical guidance, industry case studies and implementation insights, as well as the SAFR (Safeguards for Agentic Finance at Runtime) framework, which explores safeguards for AI-enabled financial activities. This roundtable brings together members of the BuildFin.ai community and industry leaders to exchange lessons from the front lines of AI deployment and discuss how collaboration can help accelerate the responsible adoption of AI across financial services. -
