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Use Cases for Machine Learning in Insurance

Sep 21 20217m min read


Data has always been at the core of the insurance industry – it drives how organizations price and assess risk. Machine learning, combined with an increasing pool of data, expands the set of tools available to actuarial, underwriting, claim and other insurance professionals, which in turn changes how insurers operate and drive customer experience improvements. Tomasz Kurczyk, Chief Digital and Transformation Officer at AXA, shares more about the impact of machine learning in the insurance industry and outlines use cases in different areas – from claims to fraud detection.

Gain actionable insights into:

  • Using a predictive approach as adoption of machine learning increases
  • New data sources and supporting infrastructure that needs to evolve
  • Making improvements for each step of the value chain


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