The Future of AI: Brilliance, Blunder, or Bubble?

Valentin is an internationally experienced Partner with over 17 years in the Financial Services industry, spanning Corporate & Investment Banking, Retail Banking, Insurance, and Wealth & Asset Management. He is recognised for strong leadership and deep expertise across both business and technical domains, with a particular focus on Artificial Intelligence and Generative AI. 

Valentin is currently leading EY’s Gen AI offerings and go-to-market strategy, with a dedication to delivering measurable value for Financial Services clients through cutting-edge AI solutions and strategic innovation. 

Agnès is a seasoned Managing Director with over 20 years of experience in risk management, capital markets, and data strategy. She is renowned for navigating complex, unstructured environments and building high-performing, collaborative teams across global markets. Agnès has successfully led regulatory programmes focused on Data and Market Risk Management, delivering impactful outcomes in compliance and operational resilience. She currently heads the Data and Artificial Intelligence department within Retail Banking, driving innovation and strategic transformation in customer-centric data solutions. 

With 25 years at the intersection of financial services and technology, Lynn has led transformative initiatives across global markets—from launching multimillion-dollar derivatives at Credit Suisse and UBS to driving digital innovation at Bloomberg. As COO and Head Asia at Global Swiss Learning, she has built a global leader in AI-powered digital learning solutions.  

Lee currently leads a data science team within the global RISK function at BNP Paribas, where she has built and scaled the team since joining in late 2018. Under her leadership, the team has delivered numerous AI-driven use cases for risk management, many of which are already in production and generating tangible value. Lee also focuses on structural topics essential for deploying AI at scale, including bias mitigation, explainability, auditability, and the implementation of MLOps practices. 

Prior to BNP Paribas, she held research and management roles at IBM Research in both the US and Dublin, contributing to projects, publications, and patents.