Utilities
Manage and maintain critical energy assets, components and infrastructure to extend remaining useful life and improve energy forecasts to optimise performance and grid demand and availability.
A problem we solve in this market .
Enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.Indsutry potential
- Network independent devices
- Share learning without moving data
- Preserving data privacy
- with >50x network and cloud reduction
- resilient to network bottlenecks Iot data dynamics
- Resulting in better AI performance and robustness
Greater accuracy
Reduction in communication overhead costs x50
Reduction in wall to wall learning times
Fixed per hour CPU cost £0.60
Fixed OP infrastructure cost £150
Reduction in cloud CPU/GPU cost x100
AI team overhead saving
TCO reduction x10
Use case .
Enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.Problem
Learn to predict machine stoppages with high frequency data from across customers. Customers are IP sensitive and will not share data to the OEM.
Solution
Generate, deploy, and manage Edge AI using privacy preserving Federated Learning Ops with OctaiPipe using an infrastructure that is economically profitable.
Impact
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- 5% reduction of spoilage events
- Increase revenue by ~£3.9M per line per year
- 5x more profitable with octaipipe vs. cloud
Further applications
Regressor compatible
Ridge
Elastic net
Random forest
Tweedie
Quantile
Support vector
Stochastic gradient descent
Baysesian ridge
Ard
Gradient boosting
Extreme gradient boosting
Classification
Ridge
Elastic net
Random forest
Tweedie
Quantile
Support vector
Stochastic gradient descent
Baysesian ridge
Ard
Gradient boosting
Extreme gradient boosting
Cluster and smoothing
Ridge
Elastic net
Random forest
Tweedie
Quantile
Support vector
Stochastic gradient descent
Baysesian ridge
Ard
Gradient boosting
Extreme gradient boosting
Model management
Ridge
Elastic net
Random forest
Tweedie
Quantile
Support vector
Stochastic gradient descent
Baysesian ridge
Ard
Gradient boosting
Extreme gradient boosting
Model versioning
Ridge
Elastic net
Random forest
Tweedie
Quantile
Support vector
Stochastic gradient descent
Baysesian ridge
Ard
Gradient boosting
Extreme gradient boosting
FAQs
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Risus viverra adipiscing at in tellus integer feugiat scelerisque?
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Tristique et egestas quis ipsum suspendisse. Quisque id diam vel quam elementum. Risus viverra adipiscing at in tellus integer feugiat scelerisque. Purus in massa tempor nec feugiat nisl pretium.
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Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Tristique et egestas quis ipsum suspendisse. Quisque id diam vel quam elementum. Risus viverra adipiscing at in tellus integer feugiat scelerisque. Purus in massa tempor nec feugiat nisl pretium.
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Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Tristique et egestas quis ipsum suspendisse. Quisque id diam vel quam elementum. Risus viverra adipiscing at in tellus integer feugiat scelerisque. Purus in massa tempor nec feugiat nisl pretium.
Quisque id diam vel quam elementum?
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Tristique et egestas quis ipsum suspendisse. Quisque id diam vel quam elementum. Risus viverra adipiscing at in tellus integer feugiat scelerisque. Purus in massa tempor nec feugiat nisl pretium.
Industrial Automation
Manage and maintain critical energy assets, components and infrastructure to extend remaining useful life and improve energy forecasts to optimise performance and grid demand and availability.
- applied attributes to that industry
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- Quisque id diam vel quam elementumat in tellus.
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- urus in massa tempor nec feugiat nisl pretium.
- Quisque id diam vel quam elementum. Risus viverra adipiscing.