We Value Your Privacy

We use technology such as cookies on our website, and through our partners, to personalize content and ads, provide social media features, and analyse our traffic. To find out more, read our privacy policy and Cookie Policy. Please also see our Terms and Conditions of Use. By accepting these terms you agree to your information being processed by Inbox Insight, its Partners or future partners, that you are over 18, and may receive relevant communications through this website, phone, email and digital marketing. For more information on how we process your data, or to opt out, please read our privacy policy. Our policies and partners are subject to change so please check back regularly to stay up to date with our terms of use and processing.

Accept Terms Settings
x

Please Sign-In to Access this Report

To access other reports on the platform please sign in with your username and password, or register for a free account to get unlimited access and insight customized for you.

Report Dataiku AI in Insurance

AI in Insurance

High-Value Use Cases

Combining mathematics and data analysis in insurance for prediction is not new but has perhaps come into the spotlight with recent worldwide buzz surrounding data science and machine learning. And in the past few years, the pace and scale of data science, machine learning, and ultimately AI adoption has accelerated to enhance or reinvent the processes core to the insurance business. The growth of data science, machine learning, and ultimately AI in the insurance industry is driven by a variety of factors, including the need to model evolving - and ever more complex - risk.

Report Snap Shot

  • Up-and-coming use cases for data science and machine learning in the insurance space.
  • Challenges traditional insurance companies face in implementing these use cases.
  • Trends in how successful companies execute.

Related Content