Beyond Storage: Building a Data Fabric for AI-Driven Drug Discovery
The “Silo” Problem
Data fragmentation is the number one blocker for AI adoption in Pharma. Even industry giants like Novartis have publicly noted the extreme difficulty of cleaning and linking heterogeneous data across a global organization.
Valuable data sits trapped in different formats (structured SQL vs. unstructured pathology images), different legacy applications (old ELNs vs. modern LIMS), and different physical locations. This creates “Data Silos” that prevent AI models from seeing the big picture.
Solix as the Foundation: The Unified Data Fabric
Solix goes beyond simple archiving or storage. We create a Unified Data Fabric a logical data layer that sits above your physical silos. This allows you to govern, manage, and access data centrally, regardless of where it lives.
Aligning with FAIR Principles
Solix ensures your data infrastructure aligns with FAIR Data Principles:
- Findable: Metadata tagging ensures researchers can actually find the datasets they need.
- Accessible: Role-based access controls ensure the right people get the data securely.
- Interoperable: Solix harmonizes data formats, allowing a chemistry dataset to “talk” to a biology dataset.
- Reusable: Cleaned, governed data is preserved for future AI training, not just one-off use.
A Holistic “Systems Biology” View
By unifying data, Solix enables a “systems biology” view of the enterprise. It allows IT to support the scientific mission by modeling the network of interactions from molecular components to phenotypic outcomes, providing the robust infrastructure required for modern Technology Integration.
