Answer:
Nyx is a revolutionary, decentralised technology that addresses the principal challenge to the adoption of AI within enterprise: secure, trusted access to domain-specific, contextualised and real-time data. Nyx brings together communities of proprietary data producers and data consumers in a secure, transparent, and user-friendly environment, and integrated into AI workflows.Answer:
No. However, Nyx does incorporate the concept of Decentralised IDs (found in ‘Web3’ architectures) to enable self-sovereignty, and we continue to consider ways blockchain might be useful for sharing data in the future.Answer:
No, Nyx does not leverage any Generative AI models in the provision of the data exchange. The Nyx architecture incorporates semantic capabilities including Inference, a type of logical reasoning. The ‘Try it Now’ feature in the Nyx Community Edition includes a RAG-enabled chatbot demonstrator which incorporates integrations with LLMs.Answer:
Nyx is currently available to try as part of an invite-only program. If you are interested in participating, visit our website (https://www.nyx.iotics.com/) and use the ‘Register Interest’ link. We’ll be in touch.Answer:
Traditional approaches to data sharing with tools like Sharepoint make a number of assumptions about the world: everyone knows what data is available, everyone knows what the data means;, and when access is required, it can be granted safely. None of those assumptions are generally true in most real-world organisations or ecosystems. Instead, data is everywhere, owned by lots of different people, each of whom has a unique lens through which they view that data, and not everyone trusts each other. As a result, traditional means of sharing data can be ineffective and insecure.Nyx leverages a unique, decentralised architecture designed ‘bottom-up’ for secure, selective interoperability at the data tier. Nyx combines streaming, knowledge graph, semantics, virtualisation and decentralisation to deliver interoperability in the real world, making real-time and static data discoverable, understandable and accessible across organisations and ecosystems, while ensuring that each participant retains sovereignty of their own systems and data.