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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.

Risk 111
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Aligning security and business strategies

CIO Business Intelligence

During the 2008–2009 Global Financial Crisis (GFC) and subsequent recession, researchers noted that cybercrime rates increased dramatically. To keep ahead of cybercriminals, organizations must remain agile, pivoting to embrace new strategies and technologies whenever necessary in order to outrun attacks.

Strategy 106
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How to Gain Greater Confidence in your Climate Risk Models

Cloudera

As part of these efforts, disclosure requirements will mandate that firms provide “the impact of a company’s activities on the environment and society, as well as the business and financial risks faced by a company due to its sustainability exposures.” What are the key climate risk measurements and impacts? They need to understand;

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. Besides, our businesses shouldn’t have to worry that outdated network equipment is putting their operation at risk.” IT Leadership, IT Strategy, Manufacturing Industry

IT 112
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AI’s ‘SolarWinds Moment’ Will Occur; It’s Just a Matter of When

O'Reilly on Data

The financial collapse of 2008 led to tighter regulation of banks and financial institutions. Compared to cybersecurity risks, the scale of AI’s destructive power is potentially far greater. An outcomes-based strategy would look at the impact of an AI or ML solution on specific categories and subgroups of stakeholders.

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What Are the Most Important Steps to Protect Your Organization’s Data?

Smart Data Collective

Based on figures from Statista , the volume of data breaches increased from 2005 to 2008, then dropped in 2009 and rose again in 2010 until it dropped again in 2011. In 2009 for example, data breaches dropped to 498 million (from 656 million in 2008) but the number of records exposed increased sharply to 222.5 million in 2008).

Testing 122
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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.