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Driving 15 years of IT transformation in 5

CIO Business Intelligence

In addition to rationalizing applications and other tactics you would expect, Lovelady knew establishing influence across McWane would be essential for the IT makeover to succeed, and that in turn would require over-communicating, driving accountability, measuring success, and rewarding high performance. The Birmingham, Ala.-based

IT 110
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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? Stress testing was heavily scrutinized in the post 2008 financial crisis. in partnership with Deloitte, to accurately measure climate risk.

Risk 78
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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

A look at how guidelines from regulated industries can help shape your ML strategy. 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.).

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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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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.