VP and Head of ML and Generative AI, Financial Services
Capgemini
Rajesh is Global Head of ML and GenAI for Financial Services. He serves as Chief Architect and Gen AI Engineering Leader for the sector. He also served as the Expert in Reidence for Capgemini's widely followed Technovision 2025 publication. He is involved externally with Harvard Business Review as Advisory Council Member, and the Forbes Technology Coiuncil. He has a particular interest in AI startups, and involved with Capgemini Ventures as Executive Sponsor for portfolio companies and Foundation Capital as a mentor. Finally, he is a contributor to Evident AI, which is a well-known benchmarking firm for Banks on their AI capability and maturity.
This is his 7th year at the Firm and he has spent 30+ years of AI/ML and Analytics experience across domains like Risk, Distribution, Operations and Marketing at large Financial Institutions and Consulting firms. Prior to joining Capgemini, Rajesh was the SVP & Head – Data Sciences at Xceedance Consulting, where he established a multinational AI Practice from scratch. Rajesh has also served in senior roles, driving Enterprise-scale AI initiatives for Fortune/Global 500 Companies, at EXL/Inductis, USAA and Mu Sigma.
Agentic artificial intelligence—AI systems capable of independent, adaptive decision-making and problem-solving in real time to achieve specific goals—is a significant step toward the creation of a digital labor force that can produce notable gains in efficiency, productivity, innovation and user experience, while enabling humans to shift their focus to more strategic, valuable roles and responsibilities. A robust panel will discuss how agentic AI will create a powerful digital labor force, where agentic AI systems can best be utilized in the financial services industry, what skills are required to manage large language model (LLM) agentic workflows, and what challenges need to be addressed—issues around transparency, privacy, security and computing resources—to scale enterprise-wide and fully deliver on its performance promise.