-
-
-
-
URL copied!
Data in the insurance industry is increasing exponentially, with a 90% increase in the last two years. This big data cannot be managed efficiently using old technologies but requires next-generation solutions.
How can the insurance industry work with big data to price policies, settle claims, analyze customer behavior, detect fraud, and map threats? Learn about big data’s 3 V’s, big data analysis and its benefits, and how to work with unstructured data. Then, examine some big data use cases in the insurance sector.
Authors
Top Insights
Manchester City Scores Big with GlobalLogic
AI and MLBig Data & AnalyticsCloudDigital TransformationExperience DesignMobilitySecurityMedia
Twitter users urged to trigger SARs against energy...
Big Data & AnalyticsDigital TransformationInnovation
Retail After COVID-19: How Innovation is Powering the...
Digital TransformationInsightsConsumer and RetailTop Authors
Chief Technology Officer, AI
CTO
SVP & GM, Medical Technology BU
Vice President, Client Engagement
VP of Healthcare Technology
Top Insights Categories
Let’s Work Together
Related Content
If You Build Products, You Should Be Using Digital Twins
Digital twin technology is one of the fastest growing concepts of Industry 4.0. In the simplest terms, a digital twin is a virtual replica of a real-world object that is run in a simulation environment to test its performance and efficacy
Learn More
Unlock the Power of the Intelligent Healthcare Ecosystem
Welcome to the future of healthcare The healthcare industry is on the cusp of a revolutionary transformation. As we move beyond digital connectivity and data integration, the next decade will be defined by the emergence of the Intelligent Healthcare Ecosystem. This is more than a technological shift—it's a fundamental change in how we deliver, experience, … Continue reading Role of Big Data Analytics in Insurance →
Learn More
Share this page:
-
-
-
-
URL copied!