Intelligent Document Processing (IDP)
in P&C Insurance - Everest Group Report

Traditional P&C insurance companies are being pressured to innovate. Many have used RPA solutions to improve efficiency, but these rules-based processes require structured data.  IDP solutions, leveraging Artificial Intelligence (AI) and Machine Learning (ML), automate the data extraction from unstructured documents and images and send machine-readable data to RPA solutions and other systems for processing. 
Everest Group explores the use of IDP in the P&C insurance industry, including:

  • The current state of the P&C insurance industry
  • Introduction to IDP and its capabilities
  • IDP adoption in the insurance industry
  • Operationalizing IDP across P&C insurance processes
  • An enterprise IDP adoption case study









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Intelligent Document Processing

Go beyond Optical Character Recognition (OCR) to get value from your unstructured data.

  • What is unstructured data
  • Limitations of Robotic Process Automation (RPA)
  • Limitations of OCR
  • Data extraction key to optimizing business operations
  • Natural Language Processing
  • Real-Time AI without Data Scientists

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