Challenges
Data in the sector
Pricing, claims, prevention: insurance is a business of models and data. AI and data science find immediate application here.
- Actuarial models, dynamic pricing and risk management
- Fraud detection and automation of claims handling
- 360° policyholder view and contract personalisation
- Solvency II, DORA compliance and ACPR requirements
By business function
Data and AI use cases
Technical and actuarial department
Quality of the data feeding actuarial models, pricing, claims experience and reserving monitoring.
Claims management
Automated claims processing, fraud detection, AI-driven case prioritisation.
Distribution and customer relations
360° policyholder view, prevention, personalised offers and generative AI support for advisers.
Finance department
Solvency II reporting, performance management, reliable financial and regulatory data.
Data office
Data governance, data owner and data steward roles, enterprise architecture, DORA compliance.
References
Visian in the sector
12 assignments in insurance and social protection.
- AXA: data governance, enterprise architecture, generative AI
- CNP Assurances: Snowflake data engineering, AWS MLOps
- Malakoff Humanis: customer relations project support, data project management
- Covéa and Groupama: business analysis, QA and project management
Detailed client cases
- AXA · Insurance, Finance department