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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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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 78
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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. End-to-end Data Lifecycle.

Risk 86
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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. Even when catastrophes don’t kill large numbers of people, they often change how we think and behave. Good outcomes do not happen on their own.

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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 124
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AI for Human Capital Management

DataRobot Blog

For instance, in 2019, the Government Acquisition Office (GAO) researched and identified 35 high-risk hiring areas. The Office of Personnel Management (OPM) began tracking time-to-hire (T2H) requirements in 2008 and found that the average government hire took around 100 days. Example of Word Clouds in DataRobot.

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Schrodinger’s Automation in AI and the Automation Bias

Jen Stirrup

Automation and the history of the 'blame game' Technology is often touted as the solution to automating and correcting errors in human behaviour, reducing risk. In the UK, one recent example is the Post Office Horizon system was poorly implemented and badly tested. One example was the Piper Alpha disaster which occurred in 1988.