Blockchain Infrastructure for Insurance Operations
Insurance companies across Taiwan are testing distributed ledger technology. But most training programs focus on theory rather than actual implementation.
We teach the technical architecture that matters: how blockchain affects claims processing, policy management, and risk assessment in real insurance workflows.
Our curriculum started when a Taipei-based underwriter asked us to explain smart contracts without the marketing fluff. That request shaped everything we build now.
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	Common Technical Obstacles
Legacy System Integration
Most insurance platforms weren't designed for blockchain. You can't just plug in a new ledger system and expect existing databases to cooperate. We show you how to build middleware that actually works with AS400 systems and older policy management software.
Transaction Volume Reality
Insurance operations generate thousands of small data updates daily. Public blockchains can't handle that speed. We focus on private consortium networks and explain when you actually need blockchain versus when a traditional database makes more sense.
Regulatory Compliance Gaps
Taiwan's Financial Supervisory Commission has specific requirements for data storage and audit trails. Blockchain immutability sounds great until you need to comply with data deletion requests. Our curriculum addresses these compliance scenarios with practical workarounds.
Curriculum Modules
Each module addresses a specific implementation challenge. Programs run September 2025 through March 2026 with both weekend and evening schedules available.
Distributed Ledger Foundations
Smart Contract Engineering
Enterprise Integration Patterns
Security and Compliance
Applications for autumn 2025 cohorts open in June. Class sizes limited to 16 students to maintain hands-on learning quality.
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	Oskar Lindqvist
Former blockchain architect at Cathay Life Insurance. Built Taiwan's first distributed claims processing network in 2022.
Who Actually Teaches This
Technical Background
Oskar spent four years implementing Hyperledger solutions for financial institutions before moving to education. He's not a blockchain evangelist – he's seen enough failed projects to know what actually works versus what sounds impressive in presentations.
His teaching style focuses on showing you the mistakes he made so you don't repeat them. Most sessions involve live coding with real-time debugging rather than polished demonstrations.
Practical Experience Areas
- Designed multi-org Fabric networks for three major Taiwanese insurers
 - Built smart contracts processing over $2M in parametric insurance payouts
 - Developed integration middleware connecting blockchain to IBM mainframe systems
 - Conducted security audits for DeFi insurance protocols
 
Teaching Philosophy
Insurance blockchain education needs to acknowledge that this technology isn't appropriate for every use case. Oskar starts each module by explaining when you shouldn't use blockchain, which often surprises students expecting pure advocacy.
He believes most professionals need to understand blockchain architecture to make informed decisions about vendor proposals, even if they never write a single line of Solidity.
What Students Actually Build
Learning outcomes focus on deployable systems, not just conceptual understanding.
	Automated Claims Processing Network
Final projects involve building a working consortium network where multiple organizations validate and process insurance claims through smart contracts. Students implement role-based access control, event logging, and automated payment triggers.
One recent group created a health insurance claims validator that reduced processing time from 3 days to 45 minutes by automating eligibility checks and provider verification through distributed data sharing.
Average project: 6-week development cycle, 4 organization nodes
	Performance Testing and Optimization
You'll learn to benchmark transaction throughput, measure network latency, and identify bottlenecks in blockchain systems. This includes stress testing with realistic insurance data volumes and optimizing smart contract gas efficiency.
Students use tools like Hyperledger Caliper to simulate high-load scenarios and practice tuning network parameters for production readiness. Understanding performance characteristics helps you set realistic expectations with stakeholders.
Typical optimization gains: 40-60% improvement in transaction processing speedStart With Technical Foundations
Our autumn 2025 programs begin in September with orientation sessions held in Banqiao District. Class schedules accommodate working professionals with evening and weekend options.