This unit examines the coming ‘infinite data’ era and the role of trivergence (converging cloud, AI, and distributed systems) in reshaping identity, ownership, and industry. Students explore technical and social challenges, evaluate sector-specific impacts on healthcare, agriculture, and transportation, and prepare strategies for decentralized identity and disruption readiness.
Learning Objectives
- Analyze how exponential data growth affects cloud architecture, storage strategies, and data governance models, including trade-offs in scalability, latency, and cost
- Apply principles of self-sovereign identity and decentralized data control to design a basic identity/data-access model that prioritizes privacy, interoperability, and user sovereignty
- Evaluate trivergence-driven opportunities and risks in healthcare, agriculture, and transportation and propose cloud-based solutions that address reliability, safety, and regulatory concerns
- Demonstrate preparedness for technological and social challenges by developing a mitigation plan that addresses security, ethical considerations, stakeholder transition, and continuity during disruption
Curriculum
- 1 Section
- 12 Lessons
- 30 hours
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- Unit 3 — Infinite Data and Trivergence Futures12
- 1.1Science’s Infinite Data Revolution20 mins
- 1.2Preparing for Infinite Data20 mins
- 1.3Infinite Data and the Era of Self-Sovereign Identities20 mins
- 1.4Breaking Free of Our Digital Landlords20 mins
- 1.5Notes20 mins
- 1.6Trivergence and the Future of Healthcare20 mins
- 1.7Trivergence and the Future of Agriculture20 mins
- 1.8Trivergence and the Future of Transportation20 mins
- 1.9Get Ready for Trivergence-Driven Disruption20 mins
- 1.10Notes20 mins
- 1.11Technological Challenges20 mins
- 1.12Social Challenges20 mins
Instructor
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