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Dr. Amanah Ramadiah
Director, Asia Pacific
FNA
Dr Amanah Ramadiah (Amy) is Director, Asia Pacific at FNA (Financial Network Analytics). She leads FNA's work with central banks, financial market infrastructures, and financial institutions across the region on anti-scam infrastructure, fraud prevention, and payment systems resilience. Her recent projects have delivered anti-scam utilities operating at national scale across the banking sector and payment rails, with measurable improvements in fund-freezing rates and investigation times. She holds a PhD in Computer Science from University College London, previously worked at the Bank of England and the International Monetary Fund, and teaches artificial intelligence, with a focus on natural language processing and network analytics, at Universitas Indonesia.
Speaking At
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1:15–2:45pmTue 17 NovPublic-Private RoundtableRoundtable Room 3Open
Global Frameworks and Shared Best Practices in Payments Chains
Open Data: Fuel for Financial AI
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Adeline TungDirector, Policy & Technology, Data Innovation & Protection GroupIMDA
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Dr. Amanah RamadiahDirector, Asia PacificFNA
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Dr. Alex PalmerChief Operating OfficerDataMasque
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Dr. Duan PuHead of Privacy-Enhancing Technologies DepartmentAnt International
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Mani GuptaVice PresidentVisa
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Rajat MaheshwariSenior Vice President, Strategic Growth, Asia PacificMastercard
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Ramakrishnan TGStrategic Partnerships Lead, Google Payments, APACGoogle
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Shebani BawejaGroup Chief Data OfficerStandard Chartered Bank
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Dr. Uzair JavaidChief Executive Officer & Co-founderBetterdata
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Dr. Zhao JingyuanHead, Group Data OfficeOCBC
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Selene YoeDeputy DirectorMonetary Authority of SingaporeModerator
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.
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