Part 10/13:
A nuanced discussion was devoted to the intricacies of deploying AI in diverse banking environments. Different banks operate on varying architectures—some on-premise, others in private or public clouds—each with unique security and compliance requirements. Integrating AI into these disparate systems demands careful planning, infrastructure flexibility, and an understanding of regulatory frameworks.
He stressed that AI solutions must be designed mindful of data privacy (GDPR, local regulations), operational constraints, and legacy systems. The complexity of deployment across multiple geographies, regulatory regimes, and institutional sizes remains a critical consideration.