Beyond digital transformations: Modernizing core technology for the AI bank of the future

An artificial-intelligence (AI) bank leapfrogs the competition by organizing talent, technology, and ways of working around an AI-first vision for empowering customers with intelligent value propositions delivered through compelling journeys and experiences. Making this vision a reality requires capabilities in four areas: an engagement layer, decisioning layer, core technology layer, and platform operating model. This article was a collaborative effort by Sven Blumberg, Rich Isenberg, Dave Kerr, Milan Mitra, and Renny Thomas. Previous articles in this series have explored the first two areas. The current article identifies capabilities needed in the third area, the core technology and data infrastructure of the modern capability stack. Deploying AI capabilities across the organization requires a scalable, resilient, and adaptable set of core-technology components. When implemented successfully, this foundational layer can enable a bank to accelerate technology innovations, improve the quality and reliability of operations, reduce operating costs, and strengthen customer engagement.