Predictive analytics is the use of various statistical techniques from data mining, predictive modeling, AI, and machine learning to analyze historical and real-time data to make predictions about future events. (Photo: Andrey Popov/Adobe Stock) Predictive analytics is the use of various statistical techniques from data mining, predictive modeling, AI, and machine learning to analyze historical and real-time data to make predictions about future events. (Photo: Andrey Popov/Adobe Stock)

Predictive analytics has been immensely useful within the insurance industry — especially in appraising and controlling risk. Through data mining, predictive modeling, statistics, machine learning, and artificial intelligence (AI), the most common use cases have led to accurate insights that aid in underwriting policies and personalized client services.

Want to continue reading?
Become a Free PropertyCasualty360 Digital Reader

  • All PropertyCasualty360.com news coverage, best practices, and in-depth analysis.
  • Educational webcasts, resources from industry leaders, and informative newsletters.
  • Other award-winning websites including BenefitsPRO.com and ThinkAdvisor.com.
NOT FOR REPRINT

© 2024 ALM Global, LLC, All Rights Reserved. Request academic re-use from www.copyright.com. All other uses, submit a request to [email protected]. For more information visit Asset & Logo Licensing.