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Duration 14 hours
Course Outline
Foundations of Digital Transformation in Insurance
- Drivers pushing digital transformation in the insurance sector
- Essential digital capabilities and maturity models
- Organizational impacts on people, processes, and technology
Emerging Technologies: AI, Big Data, IoT, and Automation
- Applications of AI/ML in underwriting, claims processing, and fraud detection
- Big Data platforms and analytics for pricing optimization and segmentation
- IoT sensor data applications in telematics, fleet monitoring, and preventive maintenance
- Opportunities for Robotic Process Automation (RPA) and workflow optimization
InsurTech and the Evolution of the Insurance Ecosystem
- InsurTech business models and strategic partnership approaches
- Platform ecosystems, API integration, and data sharing considerations
- Embedded insurance, usage-based models, and emerging distribution channels
Customer-Centric Strategies in the Digital Age
- Crafting digital customer journeys and omnichannel experiences
- Personalization tactics, CX measurement, and engagement strategies
- Transforming the claims experience and implementing self-service tools
Data-Driven Decision Making and Risk Management
- Data governance, quality assurance, and privacy in insurance contexts
- Predictive analytics for risk scoring and portfolio management
- Scenario analysis and stress-testing via data-driven models
Innovation Frameworks and Change Management
- Building innovation capacity: from labs and pilots to scaled programs
- Change management techniques for effective digital adoption
- Measuring impact and aligning digital initiatives with business value
Digital Tools for Daily Operations and Communication
- Collaboration platforms, low-code/no-code tools, and process automation
- Digital document management, e-signature solutions, and secure communications
- Operational dashboards and alerting systems for routine monitoring
Case Studies: Success Stories in Latin America and Beyond
- Regional examples of telematics, digital distribution, and claims automation
- Key lessons: partnerships, regulatory compliance, and scalability
- Group exercise: Translating case study insights into a local action plan
Conclusion and Future Directions
Requirements
- Foundational knowledge of core insurance concepts
- Experience with business processes and digital workflows
- Professional interest in innovation and technology integration
Target Audience
- Insurance specialists and underwriters
- Product managers and innovation leaders in the insurance sector
- Operations and IT personnel involved in supporting insurance processes
