Decentralized
Knowledge
Graph
Conference

Speakers:
• Dr. Bob Metcalfe, Internet Pioneer & Ethernet Inventor
• Chris Rynning, Managing Partner @AMYP Ventures
• Fady Mansour, Managing Partner @Ethical Capital Partners
• Sean Brennan, Head of Agentic Science @BIO Protocol
• Branimir Rakić, Founder & CTO @OriginTrail
• Žiga Drev, Founder @OriginTrail
• Tomaž Levak, Founder @OriginTrail

The growing trust crisis in artificial intelligence (AI) is a challenge across many sectors, driven by issues like harmful content, fake news, counterfeits, identity theft, and unverified data. AI systems, reliant on trustworthy data, are vulnerable in this environment, making data reliability even more critical as these systems integrate into vital industries. Real-world examples highlight the impact: misinformation online, counterfeit medicines in healthcare, and inaccurate supply chain data disrupt operations. These challenges stress the need for solutions to restore trust in AI-driven processes.

OriginTrail Decentralized Knowledge Graph combines blockchain and AI-ready knowledge to ensure transparency, verifiability, and data provenance. Its decentralized, secure infrastructure enhances interoperability and intelligence across industries, improving data exchange.

In this session, speakers will emphasize the importance of trusting the source, focusing on how data trust is vital for informed decisions, especially in complex systems. They'll discuss the need for data integrity, transparency, and reliability, showing how fostering trust can drive progress and innovation across industries.

Speakers:
• Charles Ivie, Senior Graph Architect @AWS Amazon Neptune
• Tony Seale, The Knowledge Graph Guy
• Branimir Rakić, Founder & CTO @OriginTrail
• Ben Clinch, Partner @Ortecha

Background: Data Products deliver higher ROI for data management and lower costs of ownership. Yet, implementations are often hard, expensive and unstandardized for wider use, inadvertently forming new silos. With DPROD’s semantic structure, organizations can easily produce standardized Data Products. These allow for trusted neuro-symbolic AI agents — secured and traceable via OriginTrail.

Workshop structure

Phase 1: Introductions (30 mins)
• Data products, data fabric, and data mesh thinking
• Benefits of a collective distributed knowledge graph
• Introduction to DPROD standard

Phase 2: Data Product Creation (45 mins)
• We supply the data, or you can bring your own
• Design data product using Graph.Build ontology
• Import data into Amazon Neptune
• Conform to DPROD standard metadata structure

Phase 3: Publishing (1 hour)
• Create a paranet in OriginTrail
• Publish the data product

Phase 4: AI Integration
• Connect LLM
• Interrogate the data product

This workshop offers hands-on experience in creating, describing, and publishing standardized data products, showcasing their potential for secure sharing and monetization within organizations and externally.