DataGalaxy

White paper

Data Governance in the Insurance Industry: Facing the AI Challenge

Artificial intelligence is revolutionizing the insurance industry, promising improved customer experiences and operational efficiencies. However, the successful adoption of AI hinges on robust data governance practices to support AI initiatives and ensure ethical data use.

 

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Data governance to support AI use

From managing vast datasets to ensuring compliance with regulations, effective data governance is essential for maximizing the potential of AI applications.

We explore various AI use cases in insurance, such as usage-based insurance and automated underwriting, highlighting the intricate data governance challenges associated with each. Additionally, we discuss the significance of utilizing modern data governance platforms and data catalogs to streamline AI data governance processes.

Overview

  1.  Introduction
  2.  Data governance to support AI
  3.  AI in insurance use cases
  4.  Predictive data
  5.  New products needed for new risks
  6.  Automated underwriting gets personal
  7.  Automated first notice of loss
  8.  AI needs governed data
  9.  AI & existing data governance programs
  10.  Utilizing a data catalog for AI data governance in the insurance industry
  11.  About DataGalaxy