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Examples of IBM assisting insurance companies in implementing generative AI-based solutions  

IBM Big Data Hub

IBM can help insurance companies insert generative AI into their business processes IBM is one of a few companies globally that can bring together the range of capabilities needed to completely transform the way insurance is marketed, sold, underwritten, serviced and paid for.

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What the Digital Operational Resilience Act means for you

CIO Business Intelligence

The regulation requires EU financial entities and their critical ICT providers to adopt comprehensive information and communications technology (ICT) risk management capabilities into their security processes. While it’s an EU policy with ramifications for EU businesses, the impact will undoubtedly affect businesses worldwide.

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CIO risk-taking 101: Playing it safe isn’t safe

CIO Business Intelligence

If this is a popular phrase in your company’s executive suite, risk-taking is a phantom virtue. To stay out of harm’s way, charter a few harmless initiatives — ones that aren’t likely to succeed, will pass the cool test if, in the off chance, they do happen to succeed, but won’t do much damage if they fail.

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Using Technology to Better Manage Risk in Insurance

Decision Management Solutions

In February, we published a blog post on “Using Technology to Add Value in Insurance”. In that post, I referenced Matt Josefowticz’s article – Technology May be the Answer for Insurers, but What Was the Question? , Insurers can also manage risk more effectively through continuous improvement.

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Selling the C-suite on preemptive IT investments

CIO Business Intelligence

When this happens, corporate risk is heightened as preemptive projects get delayed — sometimes for indefinite periods of time. CIOs can change this thinking by incorporating preemptive projects like disaster recovery into their corporate risk management strategies. The average cost of a data breach is $4.64

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Optimizing Risk and Exposure Management – Roundtable Highlights

Cloudera

For financial institutions and insurers, risk and exposure management has always been a fundamental tenet of the business. Now, risk management has become exponentially complicated in multiple dimensions. . Pandemic “Pressure” Testing. Area such as: .

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What is Model Risk and Why Does it Matter?

DataRobot Blog

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. However, after the financial crisis, financial regulators around the world stepped up to the challenge of reigning in model risk across the financial industry.

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