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September 10, 2025Wiadomości Ubezpieczeniowe1 citationsOpen Access

Digital Transformation and Innovation in the Insurance Sector: Processes, Technologies, and Challenges

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AŚAdam ŚliwińskiŁKŁukasz KuryłowiczRPRenata Pajewska-Kwaśny

Key Points

  • Digital transformation improves risk assessment, pricing, distribution, and claims management in insurance.
  • Key technologies like AI and big data analytics enhance process innovation, aligning with Barras’s reverse innovation cycle.
  • Telematics and predictive analytics streamline operations, with significant effects on customer experience.
  • Challenges persist in ensuring transparency in AI applications within the evolving regulatory landscape.

Abstract

The digital transformation of the insurance sector improves risk assessment, pricing, distribution, and claims management. Key technologies driving these changes include artificial intelligence (AI), machine learning (ML), big data analytics, and automation. These advancements primarily drive process innovation, aligning with Barras’s reverse innovation cycle rather than traditional product innovation. The authors show that key technologies such as telematics, the Internet ofThings, predictive analytics, and robotic process automation streamline operations and improve customer experience. However, challenges remain in ensuring AI transparency and interpretability. While digital transformation is still in its early stages, its continued development will shape the industry’s efficiency, competitiveness, and regulatory landscape. Keywords

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Cite This Study

Śliwiński et al. (2025) studied this question.

synapsesocial.com/papers/68c1ad5c54b1d3bfb60e57b9https://doi.org/10.33995/wu2025.2.6
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