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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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How to build a successful risk mitigation strategy

IBM Big Data Hub

An organization is always changing and so are business needs; therefore, it’s important that an organization has strong metrics for tracking over time each risk, its category and the corresponding mitigation strategy. Risk transfer: Risk transfer involves passing the risk to a third party.

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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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Climate change examples

IBM Big Data Hub

Surface temperature statistics paint a compelling picture of the changing climate: 2023, according to the European Union climate monitor Copernicus, was the warmest year on record—nearly 1.5 Explore sustainability strategy Learn about climate and weather risk management The post Climate change examples appeared first on IBM Blog.

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Generative AI use cases for the enterprise

IBM Big Data Hub

Generative AI uses advanced machine learning algorithms and techniques to analyze patterns and build statistical models. Each output is unique yet statistically tethered to the data the model learned from. Imagine each data point as a glowing orb placed on a vast, multi-dimensional landscape.

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What to Do When AI Fails

O'Reilly on Data

And last is the probabilistic nature of statistics and machine learning (ML). Because statistics: Last is the inherently probabilistic nature of ML. Materiality is a widely used concept in the world of model risk management , a regulatory field that governs how financial institutions document, test, and monitor the models they deploy.

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7 Advantages of Using Encryption Technology for Data Protection

Smart Data Collective

million penalty for violating the Health Insurance Portability and Accountability Act, more commonly known as HIPAA. Statistics show that poor data quality is a primary reason why 40% of all business initiatives fail to achieve their targeted benefits. Ponder the statistics and points of focus here as you plan how to proceed.