OriginTrail: Leading the Age of Decentralized Knowledge Graphs with AI & Blockchain

A digital landscape composed of intertwining data points, representing decentralized knowledge graph, immersed in the warm glow of dawn, symbolizing a new era in AI and blockchain technology. Figures akin to OriginTrail’s founders stand, grace the scene, gesturing towards the high-tech, artificial neural network-inspired environment. Mood is serene, illuminating the progressive, yet harmonious integration of complex AI mechanisms into everyday life.

Artificial Intelligence (AI), machine learning, and large language algorithms have saturated every facet of our technologically interwoven lives. Tools like ChatGPT provide a multitude of beneficial utilities, but there also lurk potential pitfalls such as the generation of faulty, potentially biased and possibly harmful information. It merely highlights the importance of ensuring the veracity of information, a principle that rings true in complex frameworks like supply chains.

Through the clamor, OriginTrail emerges, a multichain protocol that prides itself on being the architect of the first-ever decentralized knowledge graph. In layman’s terms, it’s a form of data layer that encourages and guarantees tangible connections between varying data points. In conversation with Jonathan DeYoung and Ray Salmond, hosts of The Agenda, co-founders Žiga Drev and Tomaz Levak reveal their vision for knowledge graphs, their significance in the landscape of supply chains and AI, and their practical experiences with enterprise clients.

OriginTrail‘s objective is to erect a “trusted knowledge foundation” that can counter misinformation, whether stemming from AI induced distortions or fraud in medical supply chains. To realize this, the Decentralized Knowledge Graph (DKG) was conceived. It’s a decentralized model of similar tools utilized by giants like Google and Amazon for personalized searches and product recommendations. Centralized services are known to generate and utilize knowledge without returning equal value to users, a flaw that OriginTrail seeks to rectify by allowing users to construct ‘knowledge assets’ and extract value.

Often, scepticism arises on the premise of practical applicability of blockchain technology, accusing the crypto space of simply providing solutions for problems it created in the first place. OriginTrail, armed with partnerships with heavyweight enterprise clients, including the British Standards Institution, Walmart, Google, and Oracle, squashes such doubts with confidence. It aims to demonstrate the value in widespread adoption of enterprise blockchain tools for information verification.

In today’s world, where AI permeates every aspect of our lives, myriad questions arise concerning job security and reliability. In this context, Levak emphasizes the importance of technologies that facilitate in creating a story about one’s role and situation, either highlighting how they could be assisted or harmed. With such relevant uses envisaged, the blockchain future continues to shine promisingly.

Source: Cointelegraph

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