Roundtable: Risks and Validation of LLMs — New York Featured Image

Roundtable: Risks and Validation of LLMs — New York

Nik Richers, Mehdi Esmail / Sep 25, 2023
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 a select group of 8-10...
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Meet us at the AI+Finance Summit, September 8 in NYC Featured Image

Meet us at the AI+Finance Summit, September 8 in NYC

Nik Richers / Sep 6, 2023
On September 8 2023, Scifn will be hosting the AI and Finance Summit, a full day of educational and insightful panels and lectures on the latest thinking and discussions at the intersection of artificial intelligence, generative AI and finance.  As part of this event,  ValidMind’s Co-Founder and Chief Product Officer, Mehdi...
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More on Uncertainty: Responding to a16z’s Generative AI Challenge for Financial Services Featured Image

More on Uncertainty: Responding to a16z’s Generative AI Challenge for Financial Services

Mehdi Esmail, Jonas Jacobi / Jun 1, 2023
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 has seen in decades.“ The...
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Quantification of Model Uncertainty (Part 2) Featured Image

Quantification of Model Uncertainty (Part 2)

Juan Martinez / May 31, 2023
Introduction While Model Risk Management (MRM) principles are important, meeting the expectations set by regulators (FED 2011, PRA 2023) and fostering a robust risk management framework can be challenging or even confusing at times. We believe all MRM practitioners must develop a good understanding of these principles and actively implement...
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The Democratization of Models and its Challenges for Model Risk Management Featured Image

The Democratization of Models and its Challenges for Model Risk Management

Saee Joshi / May 3, 2023
Throughout history, many human inventions have been democratized as technology has advanced, from the wheel to the printing press, to the smartphone. More recently, advances in the areas of computing power, programming capabilities, and data/information availability have resulted in a proliferation in the development and use of mathematical models in...
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Understanding Uncertainty for Model Risk Management (Part 1) Featured Image

Understanding Uncertainty for Model Risk Management (Part 1)

Juan Martinez / Apr 18, 2023
Uncertainty plays a critical role in AI model risk management since it can affect their performance, reliability, and ability to make accurate predictions. Practitioners involved with these models, depending on their role within organizations, may not have a complete understanding of the concepts behind model uncertainty which in turn can...
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Model Risk Management: Evolution, Landscape, and What’s at Stake Featured Image

Model Risk Management: Evolution, Landscape, and What’s at Stake

Mehdi Esmail / Mar 31, 2023
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, where negative model outcomes can...
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