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What is Model Risk and Why Does it Matter?

DataRobot Blog

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses. What is a model?

Risk 111
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How to Gain Greater Confidence in your Climate Risk Models

Cloudera

Understanding a firm’s exposure to climate risk begins with creating scenarios and gaining better visibility to the impact of a variety of variables on the book of business. Stress testing was heavily scrutinized in the post 2008 financial crisis. Transition : the changes in asset values, business models, etc. (ex.

Risk 80
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Driving 15 years of IT transformation in 5

CIO Business Intelligence

These include network management, help desk, establishing and enforcing policies related to information security and risk management, and several other IT functions. The Birmingham, Ala.-based At corporate, we focus on things that can be done globally,” says Lovelady. IT’s seat at the table has been cemented for many reasons.

IT 111
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Cloudera wins Risk Markets Technology Award for Data Management Product of the year

Cloudera

Financial services institutions need the ability to analyze and act on massive volumes of data from diverse sources in order to monitor, model, and manage risk across the enterprise. They need a comprehensive data and analytics platform to model risk exposures on-demand. Cloudera is that platform.

Risk 88
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Managing machine learning in the enterprise: Lessons from banking and health care

O'Reilly on Data

In recent posts, we described requisite foundational technologies needed to sustain machine learning practices within organizations, and specialized tools for model development, model governance, and model operations/testing/monitoring. Note that the emphasis of SR 11-7 is on risk management.). Image by Ben Lorica.

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Back to the Financial Regulatory Future

Cloudera

It’s hard to believe it’s been 15 years since the global financial crisis of 2007/2008. While this might be a blast from the past we’d rather leave in the proverbial rear-view mirror, in March of 2023 we were back to the future with the collapse of Silicon Valley Bank (SVB), the largest US bank to fail since 2008.

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5 ways to reduce compliance costs with AI and automation

CIO Business Intelligence

Deloitte estimates that compliance costs for banks have increased by 60% since the financial crisis of 2008, and the Risk Management Association found that 50% of financial institutions spend 6 to 10% of their revenues on compliance. This is where sophisticated OCR (optical character recognition), NLP, and AI models come in.

Risk 144