Risk Management in Insurance: The use of ‘R’ in data science
In our increasingly connected world, data science will continue to grow and demands for rapid, incisive risk management are only going to intensify.
These enhancements offer advanced reasoning, agentic workflows, and model intelligence purpose built for some of the industry’s most demanding real-world use cases.
In our increasingly connected world, data science will continue to grow and demands for rapid, incisive risk management are only going to intensify.
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Risk modelling is one of the fastest growing workloads in insurance – and the cloud is helping insurers to manage it in a way that delivers immediate value.
AXA Group can now improve insurance services with more accurate, detailed information about all events ranging from floods to hurricanes.
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Sara Keuthe sits down and talks with Meg Rowe of CGI Proper pay on her role as a woman in a STEM career and her future career path in STEM.