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How to Gain Greater Confidence in your Climate Risk Models

Cloudera

Firms face critical questions related to these disclosures and how climate risk will affect their institutions. What are the key climate risk measurements and impacts? How do institutions protect and optimize their balance sheets and portfolios? Stress testing was heavily scrutinized in the post 2008 financial crisis.

Risk 80
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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

The following are some of the key business use cases that highlight this need: Trade reporting – Since the global financial crisis of 2007–2008, regulators have increased their demands and scrutiny on regulatory reporting. Apart from generating regulatory reports, these teams require visibility into the health of the reporting systems.

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

O'Reilly on Data

After the 2008 financial crisis, the Federal Reserve issued a new set of guidelines governing models— SR 11-7 : Guidance on Model Risk Management. Note that the emphasis of SR 11-7 is on risk management.). Sources of model risk. Model risk management. Image by Ben Lorica. model re-training).

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Emerging Trends: 4 IRM Market Insights to Aid COVID-19 Business Recovery

John Wheeler

Integrated risk management (IRM) technology is uniquely suited to address the myriad of risks arising from the current crisis and future COVID-19 recovery. Provide a full view of business operations by delivering forward-looking measures of related risk to help customers successfully navigate the COVID-19 recovery.

Marketing 110
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Insurers – Be Aware of the Hidden Exposures in assessing the economic impact of Climate Risk

Cloudera

A prominent example was seen in 2008, when a drought in key grain-producing regions—combined with rising biofuel demand, high oil prices, decreasing grain stocks, and the depreciation of the U.S. When deployed smartly, data can help manage the disruption associated with such natural events. De-Risking with Data and AI.