Increase revenue and operating margin via higher yield driven by quality prediction, forensics and control.
Reduce energy consumption through electricity prediction and shaping.
Increase revenue via higher throughput driven by improved failure prediction, diagnosis and prevention.
Increase profit per production hour through demand sensing and production product mix and scheduling optimizations
Improve forecast accuracy by sensing and predicting demand risks & opportunities.
Maximize revenue and margins by balancing predicted inventory, production, and material with demand.
Optimize fleet up-time through equipment failure and downtime risk predictions.
Optimize labor utilization through planning, smoothing & scheduling.
Manufacturing has been in pursuit of quality, efficiency, reliability and safety improvements as part of Industry 4.0 initiatives for years. The arrival of Enterprise Artificial Intelligence® signals the tipping point for digital transformation.
Teaching high-performing Enterprise AI® requires collecting and structuring high-fidelity data in a way that is best for AI. Noodle.ai built an edge-to-datacenter platform specifically for artificial intelligence to deliver on the value promised by Industry 4.0.
Data has a shelf-life – it’s a perishable asset – and high-fidelity data capture and compute starts at the edge. Noodle.ai’s factory-ready fleet-ready AI-at-the-Edge provides real-time intelligence at the edge. After all, your car’s airbags aren’t deployed from a signal that comes from the cloud.
Run AI workloads on-premise and bridge Edge-to-Datacenter applications. Interrupted connectivity shouldn't mean critical data are lost. On-premise solutions improve fault tolerance and ensure your factory is producing an uninterrupted historical timeline of events, actions and results.
Fully-managed petabyte-scale & petaflop compute platform the powers the heart of the AI smart factory. It provides a robust platform for Enterprise AI® applications and enables AI to find patterns in data previously impossible to detect.