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Use Cases for Machine Learning in Insurance


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 shares more about the impact of machine learning in the insurance industry and outlines use cases in different areas – from claims to fraud detection.


Tomasz Kurczyk

Chief Transformation & Digital Officer



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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