Solutions
B²LAB
A big data platform that optimizes manufacturing equipment as the base for AI
Questions this page answers
- How do you build a manufacturing data lake?
- How do you unify data when every machine uses a different format?
- Why does the data foundation have to come before AI?
What has to come before AI
Before you can build an AI model, you need data you can trust. When every machine uses a different format, collection breaks off partway, and the same field goes by different names, no model placed on top will produce results worth believing.
B²LAB is a big data optimization platform supporting collection, storage and processing, and monitoring of the data an organization already holds. It links the structured, unstructured and semi-structured data generated across the enterprise to secure stable raw data.
Modular structure
B²LAB supports data collection, storage and processing, and monitoring, with each system provided as a module. The aim is to raise how much of the organization’s data can actually be put to use.
Because you can start with only the modules you need and expand later, small and mid-sized manufacturers that cannot replace everything at once still have a path in.
Components and key capabilities
- Collection
- Gathers manufacturing data from equipment into a form that supports cross-process collaboration and analysis.
- Storage and processing
- Links structured, unstructured and semi-structured data into a data lake and prepares it for analysis.
- Monitoring
- Gives visibility into the state of the collection and processing pipeline and the quality of the data itself.
- Modular
- Each system is provided as a module, to raise how much enterprise data can actually be used.