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
Over the next two years, driven in part by the economic consequences of COVID-19 and the shift toward work-from-home, financial institutions are expected to pay a lot of attention to credit risk, cybersecurity, ESG, non-financial risks, data management, third-party risk and AI. In this podcast,...
Circling back on the issue of cybersecurity after many months of COVID, we speak with Robert H. Rosenzweig, RPLU, a SVP and National Cyber Practice Leader at Risk Strategies on the current environment for cyberthreats, what are the trends/issues firms are facing and implications for risk managers.