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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. You should host the model on internal servers. Efficient and accurate AI requires fastidious data science.

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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 digital turned Nationale-Nederlanden into an omnichannel company

CIO Business Intelligence

Dutch insurance and asset management company Nationale-Nederlanden, part of the NN Group, has a presence in 19 countries and serves several million retail and corporate customers. The context tests us and it’s necessary to reinvent ourselves every day.”

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10 Ways for SMEs To Strengthen Cybersecurity with Big Data

Smart Data Collective

After educating the employees about cybersecurity & cyberattacks, your job is to test how they fare. Cybersecurity Insurance. Cybersecurity insurance can help you tremendously. It’s the same as traditional insurances. Therefore, being covered by cybersecurity insurance can aid you during these times.

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NLP Isn’t Enough. Leading Financial Services Companies Are Now Moving to Conversational AI.

CIO Business Intelligence

Today, most banks, insurance companies, and other kinds of financial services firms have deployed natural language processing (NLP) tools to address some of their customer service needs. The very best conversational AI systems come close to passing the Turing test , that is, they are very difficult to distinguish from a human being. .

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Optimizing Risk and Exposure Management – Roundtable Highlights

Cloudera

We recently hosted a roundtable focused on o ptimizing risk and exposure management with data insights. For financial institutions and insurers, risk and exposure management has always been a fundamental tenet of the business. Pandemic “Pressure” Testing. Area such as: .

Risk 99
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3 areas where gen AI improves productivity — until its limits are exceeded

CIO Business Intelligence

We did side-by-side testing,” he says. In testing, gen AI was also particularly good at generating test cases and creating dummy data for testing. We got 600 people together to test gen AI in a sandbox to try different use cases in 54 different categories.” It’s not about reducing headcount, he adds.

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