GS1 Explores Blockchain Integration for Product Identifiers with OriginTrail Support

**DrevZiga presents at Consensus Hong Kong** on how decentralized knowledge graphs (DKG) are transforming real-world assets (RWAs). **Key points:** - Knowledge secured by DKG is emerging as a new asset class in the AI era - Presentation takes place at the EVOLVE Milegreen space - Builds on previous discussions about AI agents requiring memory and verifiable data infrastructure The talk explores how decentralized knowledge infrastructure is creating new opportunities for asset tokenization and AI applications.

**Discoverable data transforms isolated experiments into collaborative knowledge.** Noemi Friedman highlights how verifiable data infrastructure allows stakeholders to: - Identify data sources with confidence - Share information securely across teams - Convert individual experiments into collective insights OriginTrail's technology powers this data verifiability layer, building on earlier work establishing verifiable data as foundational infrastructure for financial and health markets. The focus remains on creating permissionless, decentralized systems that unlock practical use cases through trusted data sharing.

The EU-funded BUILDCHAIN project has introduced the **Digital Building Logbook**, addressing a critical challenge in Europe's construction and cultural heritage sectors: fragmented and unverifiable building data. **Key features of the solution:** - Powered by OriginTrail technology for data verification - Enables information retrieval from multiple repositories while maintaining data privacy - Ensures true data ownership for stakeholders - Reduces AI hallucinations through verifiable data foundations - Creates interoperable resources across building lifecycles **Real-world applications:** - Real-time monitoring of historical assets - AI agents built on verified data to protect cultural heritage - Transforms scattered building information into accessible, trustworthy resources The initiative tackles a problem affecting both modern construction projects and the preservation of Europe's architectural legacy, where reliable building data has historically been difficult to verify and access across different systems.

Azerbaijan's Ministry of Youth & Sports is constructing a national sports data infrastructure using OriginTrail's Decentralized Knowledge Graph technology as part of its **Invincible Azerbaijan at LA 2028** initiative. **Key Details:** - The government-backed program aims to create a trusted, sovereign data foundation for athlete development and sports programs - Data will remain connected and accessible across Olympic cycles, preventing information loss between competitions - Minister Farid Gayibov is overseeing the technology-driven approach to Olympic preparation - The initiative combines national sports infrastructure with AI capabilities The project represents Azerbaijan's strategy to leverage verifiable data systems for long-term athletic success, ensuring athlete performance metrics, training programs, and infrastructure improvements can be reliably tracked and shared over time. [Read more](https://x.com/origin_trail/status/2013256123273339038?s=20)

As AI agents gain the ability to act and transact on our behalf, the question of trust becomes critical. Drev Ziga explains that three key elements are essential for agentic systems to scale: - **Verifiability**: Ensuring actions can be confirmed and validated - **Provenance**: Tracking the origin and history of agent decisions - **Privacy**: Protecting user data while maintaining transparency Without these safeguards built in by design, autonomous AI systems operating 24/7 could pose significant risks. The conversation highlights how transparency and accountability must be foundational to agent-powered systems, not afterthoughts.