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Hosted by
Karin Keller-Sutter
Federal Councillor & Head of the Federal Department of Finance, Switzerland
André Vellozo
Chief Executive Officer
Drumwave
André Vellozo, a Brazilian-American entrepreneur and systems thinker at the intersection of technology, economics, and policy. Based in Silicon Valley since 2014, André focuses on transforming data from an invisible byproduct of the digital economy into a recognized economic asset that people can own, value, and benefit from. Founder of DrumWave and a founding member of the International Data Reserve (Switzerland). Also building Between, a stealth venture redefining human relations by reconnecting value and meaning. He received the Best New Technology Award from Financial Technology Insights at the Harvard Club in Boston in both 2011 and 2012. For three consecutive years — 2022, 2023, and 2024 — he was named among the Top 100 Most Influential and Most Innovative by Bloomberg Línea in Latin America. In 2026, he was selected as a Top 10 Finalist for The Edge 50 at the World Government Summit in Dubai, UAE, and was invited as an Inaugural Assembly Member of the World Data Organization in Beijing, China — a recognition of his foundational role in shaping the global conversation around data ownership and institutional frameworks for the AI economy.
Speaking at
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12:00–1:30pmThu 25 JunGFTN InsightsRoundtable Room 3, Ground FloorOpen
Roadmap for AI and Quantum
Governing AI Applications in Financial Services
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André VellozoChief Executive OfficerDrumwave
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Eva Selamlar-LeutholdCo-CEO / ChairwomanThink&Do Tank for Financial Innovation / KYC Spider
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Fred SunHead of EuropeTencent Cloud International
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Isabelle RocciaManaging Director, EuropeIAPP
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Dr. Joseph BreedenChief Executive OfficerCALM XAI
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Konstantin KotullaFounderPorters
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Dr. Nino LandererDeputy Director General Strategy & InnovationDeutsche Bundesbank
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Thiébaut MeyerDirector, Office of the CISOGoogle Cloud
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Prof. Chia Tek YewAdjunct ProfessorNUS - Asian Institute of Digital FinanceModerator
About this session
From autonomous agents to the management of LLM and other generative AI technologies, artificial intelligence disrupts conventional understandings of data governance, particularly within financial services. This disruption is engendering new trade-offs that policymakers, regulators, and financial institutions have to grapple with, including:
- Reducing digital dependencies vs engaging the realities of a borderless market
- Preserving stability and building internal capabilities while optimising for speed and innovation
- Managing regulatory divergence without sacrificing operational coherence across markets
As AI agents become increasingly empowered to execute transactions on behalf of individuals and businesses, and institutions become increasingly reliant on models developed by a concentrated pool of Big Tech players, how can governments, financial infrastructure operators, and financial institutions balance competing objectives? This session aims to develop a set of principles for governing the use of AI and data within financial services, capturing insights from across the ecosystem.
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