The growth of AI models reaching production in financial services raises some important questions for leaders at these institutions. How do I manage the risk, volume, and complexity of these models? How do I ensure they aren’t biased? How will I monitor for drift and adverse consequences?

Join us for this webinar where SAS will explore the complexities of deploying AI in the financial sector, focusing on trustworthiness, transparency, and accountability. Gain insight into pending regulation and how to navigate some of the unknowns and challenges to safeguard your institution.

Key takeaways:

• Learn how to ensure that a model in production is trustworthy, transparent, and accountable
• Discover capabilities needed across the model lifecycle to ensure models remain trustworthy, transparent, and accountable
• Explore what the future holds with regulation and how to engage in innovation while safeguarding your institution and the customers you serve

PRESENTERS:

Joan McGowan
Global Banking Industry Advisor
SAS

Joan McGowan is a leading authority on the potential of enabling technologies in the banking and payment industries. For the past 18 years, Joan has been analyzing the impact of new technologies on banks and credit unions and provides practical advice on how to innovate and create growth strategies that keep organizations relevant and financial healthy in a rapidly morphing industry. Her expertise includes digital transformation, process automation, decision management, advanced analytics, AI, cloud computing and the disciplines of risk management, regulations and compliance. Prior to joining SAS, Joan worked as a Senior Analyst for Celent/Oliver Wyman and as a Senior Strategist for FIS Global, Fiserv and FICO. Joan has published over 30 reports on banking and technology and is a frequent speaker at industry conferences and client gatherings. Her life before banking was as a journalist/editor for The Economist Group and as a Senior Research for BBC North.

Chris Brophy
Senior Principal Industry Consultant
SAS

Chris Brophy is Senior Principal Industry Consultant at SAS with 20 years of experience in the financial services industry with a focus on quantitative risk management. Chris has led both model risk management and model development organizations with direct experience in Stress Testing, Risk Quantification, and Portfolio Analytics. Chris believes in using data and analytics to provide insights into the increasing complex problems faced by businesses today. Previously, Chris has held positions at Alliance Data Services, Key Bank, and PNC Bank.

Steven Tiell
Global Head of AI Governance Advisory
SAS

Steven Tiell is a pioneer in Data Ethics and AI Governance. He coined the term ‘Responsible Innovation’ in 2018 and founded and led Accenture’s global Data Ethics and Responsible Innovation practice, leading AI Governance initiatives at nearly 50 organizations across 10 industries on 3 continents over 4+ years. Tiell has published dozens of papers that advanced the field. Before SAS, Tiell was Vice President for AI Strategy at DataStax. He holds patents for data trusts and his leadership is recognized by the Atlantic Council GeoTech Center where he serves as Nonresident Senior Fellow and OpenAI as a Forum participant. He’s also held fellowships at the World Economic Forum for Digital Trust and Metaverse Governance. Tiell holds a Bachelor of Science in Computer Science Engineering, Information Systems and an MBA in Sustainable Management.