Gartner Research

Artificial Intelligence in Insurance: 5 Lessons From Early Adopters

Published: 19 February 2019

Summary

Artificial intelligence is harder to implement than most CIOs think, and most lack the experience and insight needed for a successful AI project. The experiences of early adopters can help CIOs identify the best ways to implement this emerging and evolving technology for their firms’ specific needs.

Included in Full Research

  • AI in Insurance: What CIOs Can Learn From Early Adopters of a Promising but Early-Stage Technology
    • Lesson No. 1: No One Technology Is Right for All Insurers’ AI Needs, and AI Product Selection Is Unusually Difficult
    • Lesson No. 2: Ensure That Your AI Project’s ROI Targets, Metrics and Timing Are Clearly Understood by Both the Business and IT
    • Lesson No. 3: Begin With a Small Use Case That Addresses a Real-World Problem and Can Deliver Measurable Results Reasonably Quickly
    • Lesson No. 4: Build an AI Team With the Skills and Expertise Necessary for Project Success, Including the Business, IT, Data and Innovation Organizations
    • Lesson No. 5: Reduce the Risk of Project Failure by Ensuring That Data Is Clean, Accessible and Holistic

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