Outcomes
By the end of the course, participants will be able to:
1. Understand the core concepts and technologies shaping InsurTech.
2. Analyze business models and innovation trends in the sector.
3. Identify regulatory, ethical, and operational challenges.
4. Explore real-world case studies of successful InsurTech initiatives.
5. Assess the implications of InsurTech for traditional insurance and financial stability.
Contents
Session 1: Introduction to InsurTech
Part 1: Foundations
• Evolution of the insurance industry
• Definition and scope of InsurTech
• Global and regional market trends
• Drivers of InsurTech: customer behavior, digital transformation, fintech spillover
• Stakeholders: startups, insurers, tech firms, regulators
Part 2: Key Technologies o Artificial Intelligence and Machine Learning
• Big Data and Predictive Analytics
• Internet of Things (IoT)
• Blockchain and Smart Contracts
• Telematics and Drones
• Chatbots and Digital Interfaces
Session 2: Business Models and Use Cases
Part 1: New Models of Insurance
• On-demand and usage-based insurance
• Peer-to-peer (P2P) insurance
• Embedded insurance
• Parametric insurance
• Digital-only insurers (e.g., Lemonade, Root)
Part 2: Use Cases and Global Case Studies
• Distribution and customer engagement
• Underwriting and pricing
• Claims automation and fraud detection
• Reinsurance innovation
• Case studies from the US, EU, MENA, and Asia
Session 3: Regulation, Challenges, and the Future
Part 1: Risks and Regulatory Considerations
• Regulatory sandboxes and innovation hubs
• Consumer protection and data privacy
• Cybersecurity risks
• Ethics and algorithmic bias
• Supervisory technology (SupTech) in insurance
Part 2: Strategic Outlook o Challenges for incumbents and digital transformation strategy
• Partnerships between InsurTechs and insurers
• Role of central banks and insurance regulators
• Future of insurance: personalization, ecosystems, open insurance
Interactive panel/discussion: What’s next for our market?