AI in Financial Services

Five predictions transforming banking and insurance in 2026

AI will upend how financial institutions assess risk, detect fraud, and manage portfolios in the year ahead. In this session, you hear predictions on:

How the shift from AI experimentation to measurement will drive efficiency and ROI.
Why unified risk and model governance will define the industry’s next competitive edge.
How disruption in credit, fraud, and climate modeling will reshape the future of finance.

Featured speakers

Manuel Piette

Chief Data Scientist

Manuel Piette is Chief Data Scientist for Analytics & AI Center of Excellence at BNP Paribas Fortis. During his nearly two decades at the bank, Manuel has held leadership roles across predictive marketing, customer analytics, and data science, building scalable capabilities that bridge innovation and business impact. He recently spearheaded the development of BNP Paribas Fortis’ GenAI platform which powers secure LLM usage for more than 11,000 employees and has dramatically accelerated access to governed model environments and significantly sped up genAI prototype production. His work has positioned the bank as a leader when it comes to responsible, production-grade AI adoption in financial services.

Nick Goble

Solution Architecture for Financial Services & Insurance

Nick Goble, Ph.D. leads Solution Architecture for Financial Services & Insurance at Domino Data Lab, bringing more than ten years of experience across quantitative finance, derivatives modeling, and fintech innovation. At Venerable, Nicholas managed Quantitative Research and Development, where he established quant research capabilities from the ground up and guided teams in building sophisticated trading platforms and pricing engines. Before that, he was a Senior Quantitative Researcher at Chatham Financial, focusing on valuation methodologies and bringing machine learning models into live trading environments. Nicholas holds a Ph.D. in Physics from Case Western Reserve University.