WHITEPAPER
AI-Powered Federated Data Hubs for Secure Data Exploration with Lifebit AI DataHub
Enable secure, federated, and AI-driven collaboration across datasets without moving or exposing sensitive data.
Revolutionising Federated Data Collaboration Across Organisations
As public sector, research, health and biopharma organisations increasingly rely on distributed data, data providers face mounting barriers to making their datasets discoverable, fragmented systems, limited governance, restricted access to sensitive data, and complex querying requirements, while data consumers struggle to find, understand and analyse data across institutions.
Lifebit’s AI-Powered Federated Data Hubs solve these challenges by enabling data providers to deploy federated data nodes across their distributed sites and unify them into a single, queryable data hub without moving or duplicating data. The platform also securely integrates advanced AI models, allowing data consumers to interact with all federated datasets through natural-language queries as if they were one.
In doing so, it creates a secure, compliant, AI-driven environment where data providers retain full control and governance, and data consumers gain seamless, privacy-preserving access, unlocking true collaboration without compromising privacy.
If you are a Data Provider Organisation, Download the Whitepaper to Discover How To:
- Enable secure, federated data collaboration without compromising privacy by allowing data to remain fully in place while being analysed across federated sites as a single, unified resource.
- Transform natural language into structured, federated data exploration through AI-powered querying that lets users ask complex questions conversationally and receive actionable insights.
- Ensure compliance, governance, and full traceability with built-in access controls, fine-grained permissions, and auditable workflows that give data providers complete oversight.
- Improve data discoverability through transparent metadata, schema visibility, and harmonised data views that help users easily understand what data exists and how it can be used.
- Accelerate compliant insights across federated ecosystems by empowering data consumers to navigate, analyse, and collaborate on distributed data securely and efficiently.