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Emerging and changing risks bring new challenges, it's about the right insurance coverage for the risk.

We are in the digital age of “connected cars, connected homes & connected lives”. Insurance carriers of all types – life, non-life (P&C) or reinsurers – are experiencing massive transformations in the way they conduct business. These factors change risk patterns, assessment and impact claims costs. What is behind all of this is “data”!

Key use cases
  • General Insurance (P&C, Non-Life)
  • Life Insurance
  • Reinsurance

General insurance (P&C, non-life)

InsurTech and the changing risk landscape is driving P&C Insurance companies to explore and leverage new and existing data sources. Real-time IoT data from weather, seismic, drones, news feeds, sensors, and social coupled with machine learning is making their customer safer with preventive analytics.

Life insurance

The Connected World is redefining the age of the Customer. One of the biggest opportunities for Life insurance companies is how to leverage data to better know, understand and provide customers with the right lifestyle-based coverages and financial products for peace of mind.


As a reinsurer there is constant change and new factors impacting the risk portfolio. Do you write more or less of the same, or look for new risks? Equipping underwriters with insights from new IoT device data sources and monitoring or listening to risk variables is critical to profitability and solvency.

INAIL: Empowering safety and enhancing prevention with a single repository of all data

Read the case study

Octo Telematics

Transforming insurance services with 170 billion miles of data from connected cars

Read the Case Study

European Multinational Insurance Company

Machine learning and AI factory enable data science teams to share use cases across the cloud.

Read the case study

Solution Brief

Accelerating the Evolution of Digital Claims


Underwriting: Assessing Risk with Data and AI


Data Governance in Insurance


Will My True Customer Please Stand Up?

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