Digital transformation and innovation
in the insurance sector: Processes, technologies, and challenges Cover Image

Digital transformation and innovation in the insurance sector: Processes, technologies, and challenges
Digital transformation and innovation in the insurance sector: Processes, technologies, and challenges

Author(s): Adam Śliwiński , Łukasz Kuryłowicz, Renata Pajewska-Kwaśny
Subject(s): Economy
Published by: Polska Izba Ubezpieczeń
Keywords: Digitalisation of insurance; process innovations ;AI in insurance; Barras’s reverse innovation cycle; big data in insurance

Summary/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), ma- chine 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 of Things, predictive analyt- ics, 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.

  • Issue Year: 2025
  • Issue No: 2
  • Page Range: 93-116
  • Page Count: 24
  • Language: English
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