UNIQA Insurance Group AG: Partnering Against Fraud - Network Analytics, Text Mining, and AI in Action

Create a vendor selection project & run comparison reports
Click to express your interest in this report
Indication of coverage against your requirements
A subscription is required to activate this feature. Contact us for more info.
Celent have reviewed this profile and believe it to be accurate.
15 April 2020
Max Ang and Marty Ellingsworth

Winner of the 2020 Celent Model Insurer Award for Data, Analytics, and AI


Read about how an insurer created a common framework for improving customer experience while fighting fraud. This case study shows how they did this across many systems with operations in many countries speaking many different languages by partnering with an advanced analytics vendor using text analytics, AI, and network analytics.

The process of matching a great use case with machine learning capabilities and an iterative testing cycle is a great example of success in Data, Analytics, and AI.

Subscription required

Access to this content requires a Celent research subscription.

Subscribers should sign in to access this research.

If you are not a subscriber, register now or contact us to find out more about our subscription options.

Insight details

Property & Casualty Insurance
Subscription(s) required to access this Insight:
Insurance, >>Property / Casualty Insurance
Insight Format
Geographic Focus