In this masterclass, we explore the real-world implementation of AI in the financial services sector—where regulatory pressure, legacy systems, and risk aversion make change management just as critical as model performance. Through the lens of a leading bank’s journey to deploy an AI-powered risk assessment engine, we’ll cover: How cross-functional teams aligned around AI strategy and compliance Managing resistance from traditional risk and operations teams Training non-technical staff to work with AI outputs and insights Governance frameworks put in place to ensure ethical and explainable AI Key takeaways for balancing innovation and trust in high-stakes environments This session goes beyond the technical build, offering leadership insights on cultural readiness, stakeholder buy-in, and sustaining momentum in AI rollouts. Who Should Attend: Financial executives, risk leaders, transformation heads, and decision-makers looking to drive successful AI adoption while managing regulatory, cultural, and operational change. https://academy.decodingdatascience.com/aiforexecs