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Private UK health data donated for medical research shared with insurance companies

The Guardian Data Protection

Observer investigation reveals UK Biobank opened its biomedical database to insurance firms despite pledge it would not do so Sensitive health information donated for medical research by half a million UK citizens has been shared with insurance companies despite a pledge that it would not be. Continue reading.

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The risks and limitations of AI in insurance

IBM Big Data Hub

In my previous post , I described the different capabilities of both discriminative and generative AI, and sketched a world of opportunities where AI changes the way that insurers and insured would interact. Usage risk—inaccuracy The performance of an AI system heavily depends on the data from which it learns.

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Generative AI use cases for the enterprise

IBM Big Data Hub

Tools such as Midjourney and ChatGPT are gaining attention for their capabilities in generating realistic images, video and sophisticated, human-like text, extending the limits of AI’s creative potential. Harnessing the value of generative AI Generative AI is a potent tool, but how do organizations harness this power?

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

However, if AGI development uses similar building blocks as narrow AI, some existing tools and technologies will likely be crucial for adoption. Image (55%): Gen AI can simulate how a product might look in a customer’s home or reconstruct an accident scene to assess insurance claims and liability.

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MassMutual unit, iPipeline partner to distribute risk model

Information Management Resources

The life insurer’s LifeScore Labs division is ready to make its data tool available to other carriers in the space.

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Our Data Governance Is Broken. Let’s Reinvent It.

John Battelle's Searchblog

First, Data. Big data, data breaches, data mining, data science…Today, we’re all about the data. The scientific method is our best tool, so far, for advancing human progress and problem solving. So what insures engagement and attention? Information refined from data.

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Exploring the AI and data capabilities of watsonx

IBM Big Data Hub

By supporting open-source frameworks and tools for code-based, automated and visual data science capabilities — all in a secure, trusted studio environment — we’re already seeing excitement from companies ready to use both foundation models and machine learning to accomplish key tasks.