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What is Model Risk and Why Does it Matter?

DataRobot Blog

This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses. 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.

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DEI that works: 5 companies reaping the benefits of IT diversity strategies

CIO Business Intelligence

The tech industry has long been known for its lack of diversity and, as a result, there’s been a big push for companies to take DEI strategies seriously. Through internship programs, apprenticeships, returnships, and other unique talent and upskilling programs, these examples can help inspire the right DEI strategy for your organization.

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4 Key Elements of Enterprise AI Strategy

bridgei2i

In the latest episode of ‘The Data Strategy Show’, host Samir Sharma engages Prithvijit(Jit) Roy and Pritam K Paul, Co-Founders of BRIDGEi2i, in a riveting discussion. They discuss the benefits of design thinking; how business partners brainstorming together improves decision-making and creates a holistic strategy.

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Rising Tide Rents and Robber Baron Rents

O'Reilly on Data

From 2000 to 2011, the percentage of US adults using the internet had grown from about 60% to nearly 80%. Starting around 2011, advertising, which once framed the organic results and was clearly differentiated from them by color, gradually became more dominant, and the signaling that it was advertising became more subtle. I think not.

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Automating Model Risk Compliance: Model Validation

DataRobot Blog

In this post, we will dive deeper into how members from both the first and second line of defense within a financial institution can adapt their model validation strategies in the context of modern ML methods. The decreasing default risk with increasing salary suggests that higher income applicants pose less credit risk to the bank.

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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. What Is Model Risk?

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What is ITIL? Your guide to the IT Infrastructure Library

CIO Business Intelligence

ITIL’s systematic approach to IT service management (ITSM) can help businesses manage risk, strengthen customer relations, establish cost-effective practices, and build a stable IT environment that allows for growth, scale, and change. In 2011, another update — dubbed ITIL 2011 — was published under the Cabinet Office.

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