Managing AI/ML Model Risk

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Managing AI/ML Model Risk

November 16, 2021 @ 2:00 pm - 4:00 pm EST

Speaker: Jonathan Quimet, Sales Engineer, ModelOp

Abstract:
In this session we will explore the differences between ModelOps and MLOps, and what this means to your ability to manage model risk. As more and more models are deployed in the business environment, of both traditional and AI/ML models, the risk to your business increases. Whether the risk is direct financial impact to your business, or additional scrutiny by governing agencies, we will explore how a robust ModelOp solution can help you reduce that risk and enable your business to be successful.

What You’ll Learn:
Shows real-world examples of how to de-risk models, with live talk and Q&A.

Bio:
At ModelOp, Jon works with F500 companies to understand their challenges with AI and decision-making model operations (ModelOps) and demonstrate how ModelOp Center helps solve their ModelOp technical, operational, and business challenges. Jon has 15 years of experience as a technologist and sales engineer. He has worked with AI technology products for the last four years, complementing his many years of experience with digital business automation products.