Building CPI’s capability in industrial connectivity, Federated Learning and data science methodologies
What the buyer wrote
The purpose of this tender is to demonstrate CPI’s capability in data analytics and Federated Learning by supplying an analytics-enabling data infrastructure for a plastics recycling rig (Lot 1), and a complete Federated Learning platform (Lot 2), initially orientated towards furnace applications which is deployable at different sites/locations. These lots are to be supplemented by a training programme CPI has identified in support of these activities (Lot 3). This tender is split into three lots where are described in detail in the Technical Requirements section and accompanying URB’s.
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Details
- What the buyer calls it
- Building CPI’s capability in industrial connectivity, Federated Learning and data science methodologies
- How they are buying
- Advertised, then negotiatedThe buyer talked terms with bidders rather than taking fixed offers.
- Type
- services
- Lots
- 2
- Framework
- Yes: joining it lets you bid for call-offs without a new tender each time
- Where
- in the North East
- Kind of work
- Technology and digital, Waste collection and recycling
Who the buyer named
David Cooper was the named contact on this notice.