Artificial intelligence and machine learning are transforming the ways in which financial institutions manage risk. Driven by a proliferation of data and computing power, institutions are harnessing these tools to build predictive models that enhance decision making. Today, firms are using AI and ML to improve risk management by identifying early warning signals to manage credit risk and providing investment managers with capabilities to interpret unstructured ESG data for portfolio management.    In this podcast, Jeff D’Avignon, from FIS Global, leads a conversation with Riyaz Nakhooda, Vice President of Strategic Partnerships at Accern and Justin Chan, Product Director for FIS’ Cross Asset Trading and Risk business. They discuss the machine learning revolution and what it means for the financial services industry, practical applications of new and emerging technologies, potential challenges to adoption, and their outlook for the future.     Justin Chan, Product Director, Cross-Asset Trading & Risk, FIS Global  Jeff D’Avignon, Senior Sales Executive, Cross-Asset Trading & Risk, FIS Global  Riyaz Nakhooda, Vice President of Strategic Partnerships, Accern