A mandate for model governance in the age of AI
The modern enterprise cannot afford to wait to implement an AI model governance framework due to business, operational, and risk concerns. In our latest webinar in partnership with ModelOp, two leading industry experts delve into model governance in the age of AI, providing viewers with the knowledge on how to establish an AI and model governance framework in just a few months.
Model governance processes and tools require augmentation to accommodate AI, and frameworks must cover more than just ethical fairness, accounting for business, data, IT, risk, and security concerns.
Where should institutions start on their journey towards model governance, and are things as straight forward as they may seem to get a framework up and running in just a view months?
Available to view at a time that suits you, register below to gain free access to this valuable resource.
Senior Director, Head of Model Validation
Dave Trier serves as Vice President of Product at ModelOp. He is charged with defining and executing on strategy for ModelOp Center, paving the way for customers to overcome their ModelOps challenges and unlock the value of AI.
Prior to joining ModelOp, Dave held several technology and data leadership roles, VP of Advanced Analytics Services at Teradata, and Chief Technology Officer at Powered by Action. As a manager and consultant at Accenture, he led large-scale enterprise transformation projects and helped pioneer the space of ModelOps through various Accenture consultancy tools and solutions.
With over 15 years of technology and product management experience and multiple patents in his name, Dave helps ensure ModelOp continually delivers cutting edge innovation, helping enterprises implement and drive business transformation with ground-breaking technologies—from AI, big data, and cloud computing to IoT solutions.
Dave holds a Bachelor of Science in Electrical Engineering from University of Notre Dame.
Liming Brotcke leads the model validation group of the MRM function at Ally since February 2019. Before joining Ally Liming worked at the Federal Reserve Bank of Chicago as the head of MRM for the 7th district and the Risk Modeling and Analytics team. She co-led the quantitative review of the CCAR Credit Card and was a key member of the LISCC supervision retail team. Prior to Chicago Fed, Liming developed extensive modelling skills and business knowledge between Discover and Citi Group. Liming holds a Ph.D. degree in Economics from the University of Illinois at Chicago. She has multiple publications on quantifying model risk and machine learning governance.
What will this webinar cover?
Assessing the need for AI and model governance
Key tenets to modernizing your model governance capability
Common pitfalls to avoid
Recommendations to get started
With the guidance of two leading industry experts within the model risk space, by watching this on-demand webinar you will have increased knowledge on:
- Current model governance processes and tools that need to be augmented to accommodate AI
- Why modern enterprises cannot afford to wait to implement an AI and model governance framework due to business, operational, and risk concerns
- Robust AI and model governance frameworks should cover more that just ethical fairness
- Account for business, data, IT, risk, and security concerns
- Getting started with an AI and model governance framework in just a few months