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What Is Model Risk Management and How is it Supported by Enterprise MLOps?

Domino Data Lab

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management.

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What is Model Risk and Why Does it Matter?

DataRobot Blog

The stakes in managing model risk are at an all-time high, but luckily automated machine learning provides an effective way to reduce these risks. However, after the financial crisis, financial regulators around the world stepped up to the challenge of reigning in model risk across the financial industry.

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Automating Model Risk Compliance: Model Development

DataRobot Blog

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States.

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Q&A: Leading IT in a high-volume M&A environment

CIO Business Intelligence

AssuredPartners is a full-service insurance broker providing commercial insurance, risk management, and employee benefits. Martha Heller: AssuredPartners was founded in 2011 and just crossed the $2 billion revenue mark. What follows is an edited version of our conversation. What is behind that growth?

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Automating Model Risk Compliance: Model Validation

DataRobot Blog

To start with, SR 11-7 lays out the criticality of model validation in an effective model risk management practice: Model validation is the set of processes and activities intended to verify that models are performing as expected, in line with their design objectives and business uses. Conclusion.

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Sustainable Petrochemical Company Expands Risk-Based Inspection Philosophy

CIO Business Intelligence

To illustrate, from 2011 to 2021, IVL collected over 72 billion post-consumer PET bottles for recycling, which prevented 1.6 About four years ago, IVL expanded the use of risk acceptance at its PNO facility in Texas to establish next-inspection plans. million tons of plastic waste from going to landfill and reduced 2.4

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Fun fact: in 2011 Google bought remnants of what had previously been Motorola. Probably the best one-liner I’ve encountered is the analogy that: DG is to data assets as HR is to people. a second priority?at