Redefining AI’s role in Lending
We look at the shift from internal applications to external AI use cases. Join Robert Downs, Global Head of Corporate & Syndicated Lending R&D at Finastra, together with Pablo Padin Fabeiro, Partner, Core Banking & Payment Center of Competence at IBM Consulting, Ian Harris Kent, Business Development Specialist at Nord/LB and Ami Ben-David, founder and CEO at Ownera – as they discuss the importance of data and advanced analytics in personalizing customer experiences. Explore how AI can streamline corporate lending processes, from underwriting to onboarding, and the necessity of robust data governance and platforms to support these advancements.
Despite rapid growth, regulation poses a challenge for the evolution of AI, and there is a need for a cultural shift within traditional banking institutions. However, the integration of AI with blockchain technology and the potential for AI-driven agents to optimize portfolios in real-time are exciting frontiers for the use of artificial intelligence in lending to move the industry forward. The future of AI in banking seems poised to continue its upward trajectory.
Next up:

Tokenization in data management: The perfect storm
Financial institutions worldwide must collaborate to overcome paper-based system challenges and embrace tokenization to streamline processes, enhance data quality, and accelerate AI adoption.