Great news! This IOT Data Hackathon 2026 Online Learning Workshop is now open to everybody.
Looking to improve supply chain efficiency, traceability, and operational visibility through technology? This on-demand workshop explores how IoT technologies and global data standards work together to unlock smarter operations.
Led by GS1 Hong Kong’s Chief Architect, this session demystifies IoT concepts and shows how standards-driven integration enables scalable, secure, and future-ready innovation.
From logistics and warehousing to manufacturing and smart operations, the workshop offers practical guidance grounded in real-world industry use cases.
Register to get access to this online learning video for free and learn to turn connected data into operational advantage.
IoT is no longer emerging technology — it is already embedded in daily operations, from logistics tracking to smart cities. The real challenge lies in connecting data consistently across systems and stakeholders.
This workshop explains how integrating IoT technologies with GS1 data standards creates a common language for identifying, capturing, and sharing trusted data across the supply chain.
You will be guided through the fundamentals of IoT architecture and how data flows from the physical world to enterprise systems using standardised identifiers and event data.
Through practical examples, the session shows how standards-based IoT supports visibility, traceability, compliance, and innovation at scale.
Training Highlights
- Understand how IoT connects the physical and digital worlds
- Learn the role of data standards in scalable IoT deployment
- Improve supply chain visibility and traceability
- Compare barcode, RFID, and other data capture technologies
- Enable smarter, data-driven operations
What You’ll Learn:
• IoT Fundamentals: How sensors, networks, and applications work together in a typical IoT architecture
• Three-Layer IoT Model: Sensor, network, and application layers explained with real operational examples
• GS1 Identification Standards: How GTIN, SSCC, and GLN uniquely identify products, shipments, and locations
• Data Capture Technologies: Practical comparison of barcode, 2D barcode, RFID, NFC, and biometric technologies
• RFID Essentials: Tag types, reading ranges, classes, and deployment considerations
• Master Data: How physical event data, transactional data, and master data enable traceability
• Smart Operations Use Cases: Data applications in logistics, warehousing, manufacturing, safety, and compliance
• IoT for Innovation: Using structured data to enable new services, analytics, and automation
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