Musa Parmaksiz leads the AI Center of Excellence at UBS Investment Bank, where he shapes the firm’s approach to AI strategy, governance, adoption, and delivery at scale. He pioneered the AI governance framework for UBS Investment Banking, helped industrialize the firm’s shared agentic AI infrastructure in partnership with Microsoft, and has played a key role in delivering AI solutions spanning front-office productivity, risk and compliance, client operations, and quantitative research
Previously, he served as Digital Transformation Lead in UBS Group Risk Control, where he launched a cloud-native MLOps platform and delivered AI and machine learning solutions across regulatory submissions, exposure analysis, and risk management. Earlier in his career, he held quantitative leadership roles at Credit Suisse and UBS, developing regulatory market and credit risk models and leading globally distributed teams across Zurich, Mumbai, and New York.
He is a recognized voice on responsible AI in financial services, engaging with institutions including the EBA, ECB, and BIS, and speaking at industry and policy forums on AI regulation, compliance, and responsible adoption in finance.
Roundtable Room 3, Ground Floor
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Autonomy of automated systems is increasing rapidly thanks to advances in agentic AI technology. This development impacts not just our everyday life but the economic framework and established systems in various ways, ranging from the automation of simple tasks to increasingly autonomous systems of agents interacting with minimal oversight.
This roundtable unpacks the impact such developments have on both traditional and on-chain payment systems and explores risks and opportunities emerging as adoption progresses.
A diverse group of roundtable participants representing the “full-stack” of payment system actors, including central and commercial banks, regulators, payment providers, digital asset platforms and technology providers, will discuss implications for liquidity management on both an individual and systemic level, uncover design principles for safe agent-based payment systems, and provide insights on priorities for regulatory coordination.