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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.

Risk 64
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Rising Tide Rents and Robber Baron Rents

O'Reilly on Data

But this kind of virtuous rising tide rent, which benefits everyone, doesn’t last. Back in 1971, in a talk called “ Designing Organizations for an Information-rich World ,” political scientist Herbert Simon noted that the cost of information is not just money spent to acquire it but the time it takes to consume it. “In

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Automating Model Risk Compliance: Model Validation

DataRobot Blog

Last time , we discussed the steps that a modeler must pay attention to when building out ML models to be utilized within the financial institution. In summary, to ensure that they have built a robust model, modelers must make certain that they have designed the model in a way that is backed by research and industry-adopted practices.

Risk 52
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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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When models are everywhere

O'Reilly on Data

Not all models are created equal, however: they operate on different principles, and impact us as individuals and communities in different ways. To understand the menagerie of models that are fundamentally altering our individual and shared realities, we need to build a typology, a classification of their effects and impacts.

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AI Technology Helps App Marketplaces Compete with App Store

Smart Data Collective

However, we haven’t discussed the benefits of using AI to distribute apps through app marketplaces in as much detail. In order to appreciate the benefits of using AI to create a new app marketplace, it is important to first address the challenges. Some of them are listed below: Mitigate app security risks.

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Democratizing HPC with multicloud to accelerate engineering innovations

CIO Business Intelligence

That’s why democratizing HPC via the cloud—known as Cloud for HPC—can provide significant benefits to all of humankind. Here are a few outcomes from HPC’s groundbreaking capabilities: HPC modeling and simulation help engineers test jet engines without destroying a single $10-40 million jet engine. And changes are coming at warp speed.

ROI 85