AI investment is accelerating, but most financial institutions remain stuck in productivity-led use cases, with limited progress in translating AI into client-facing value. As budgets shift from experimentation to enterprise deployment, the challenge is no longer proving ROI internally—but embedding AI into the core of products, services and revenue models. This keynote will explore how leading institutions are redefining their AI strategies to move beyond cost optimisation and towards scalable, revenue-generating innovation. 

• How to drive AI transformation across the enterprise: what organisational, cultural and operating model shifts are required to move from siloed experimentation to fully embedded, business-wide AI adoption
• How to scale AI in wholesale banking: how to optimise internal workflows across trading, risk and operations while building the data foundations needed to support more advanced, revenue-linked use cases
• How to embed AI into payments and client-facing services: how to enhance personalisation, fraud detection and real-time decisioning to unlock new revenue streams and differentiated customer experiences