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Swiss Re streamlines insurers’ natural disaster response with AI

CIO Business Intelligence

Natural disasters have been increasing in frequency, severity, and diversity in recent years, pressuring insurers to be more efficient and to anticipate event and claim fallout. In his role, Vasagiri is responsible for the data and software assets deployed to Swiss Re’s clients, as well as the company’s overall data strategy.

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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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Demand elasticity estimation and price optimization for an Insurance major

bridgei2i

Case study: Demand Elasticity Estimation and Price Optimization for an Insurance Major. The client is a P&C insurance leader in Asia wanted to optimize their price & demand elasticity estimation. BRIDGEi2i developed a Conversion model to analyze change in conversion propensity on change in quoted price.

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How Financial Services and Insurance Streamline AI Initiatives with a Hybrid Data Platform

Cloudera

With the emergence of new creative AI algorithms like large language models (LLM) fromOpenAI’s ChatGPT, Google’s Bard, Meta’s LLaMa, and Bloomberg’s BloombergGPT—awareness, interest and adoption of AI use cases across industries is at an all time high. proprietary data, business strategies, methodologies, etc.

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Machine Learning Transforms Life Insurance Beyond the Actuarial Process

Smart Data Collective

The insurance industry is among those that has found new opportunities to take advantage of machine learning technology. Life insurance companies in particular are discovering the wondrous opportunities that AI provides, since this sector faces some unique challenges relative to other insurance offerings.

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Optimizing Cost with DevOps on the Cloud

Smart Data Collective

Reasons for Cost Optimization Cost optimization is an important part of any organization’s DevOps strategy. By optimizing costs, organizations can maximize their profits and keep up with the ever-changing business landscape. But what are some of the reasons why DevOps teams should consider cost optimization?

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Adoption of Automated Sales & Underwriting Strategies can Transform Insurance

bridgei2i

Adoption of Automated Sales & Underwriting Strategies can Transform Insurance. The insurance industry—which, in the US alone, stands at $1.2 trillion, is seeing the volume of insurance transactions growing every year. Images 1: Challenges before insurance in the post-Corona world. click here.