Navigating conversational AI and generative AI in regulated industries
How to manage the innovation, risk and data integrity considerations around generative AI in banking
As automation technologies like machine learning (ML), robotic process automation (RPA) and chatbots transform the financial industry, banks are increasingly automating traditionally manual processes. In the CFO domain, AI-driven tools streamline accounting, reporting and tax management. With the rise of generative AI (GenAI), internal operations have experienced even more efficiency gains—but they also face new challenges around data security, expectations and governance.
In this session from All Access: AI + Data in CX 2024, Erwin Pellemans, product owner of robotics and AI at Rabobank shares how his team navigated the shift from traditional automation to advanced AI and discusses the critical balance between AI experimentation and minimizing risk, offering insights into the future of AI in banking. The session also covers the importance of preparing clean, reliable data for AI while preventing hallucinations.
Find out more about All Access: AI+Data in CX in this article by event producer and host, Chloe Chappell
