Are you involved in AI Risk Management and Governance within the Financial Services sector? We would like to invite you, or a qualified representative from your organization, to a high-impact roundtable discussion in New York City. This is an exclusive and off-the-record gathering, limited to …
Announcing Our Closed Beta for Large Language Model Testing — Coming Soon!
Understanding the risks linked to large language models (LLMs) and generative AI technologies is a complex challenge. Existing model risk frameworks often don’t capture issues like truthfulness or hallucinations. Similarly, the tools you have today simply aren’t robust enough to handle the testing and documenting …
Meet us at GMFI – Model Risk 22nd Edition, June 14-15 in Boston
On June 14 and 15 2023, GFMI will be hosting the 22nd Edition of its Model Risk conference, gathering MRM experts across from the Financial Services industry to discuss how the regulatory environment will affect MRM activities and best practices to achieve effective MRM oversight. …
More on Uncertainty: Responding to a16z’s Generative AI Challenge for Financial Services
The team at a16z, which includes Angela Strange, Anish Acharya, Sumeet Singh, Alex Rampell, Marc Andrusko, Joe Schmidt, David Haber, and Seema Amble, recently published their post Financial Services Will Embrace Generative AI Faster Than You Think. In this post, they outline what could be “the largest transformation the financial services market …
Meet us at the GFMI conference on “Development, Implementation and Management of ML Models”, April 17-19, in New York
On 17 April – 19 April 2023, GFMI will gather a group of experts in New York to discuss how to effectively develop and govern machine learning models in the Financial Services industry. As part of this event, our very own Mehdi Esmail, Co-Founder and …
Model Risk Management: Evolution, Landscape, and What’s at Stake
Models deploy into more and more areas of business operations in Finance, Healthcare, Retail, and many other industries bringing benefits to these institutions but also exposing them to greater operational, reputational, and regulatory risks. This is especially true in the Financial Services and Insurance industries, …