United StatesManufacturing2024 – ongoingNOV
Auredia AI manufacturing optimization
NOV deployed Auredia across more than 50 factories to identify manufacturing losses
Problem
NOV sought better machine utilization and faster identification of production problems.
Approach
NOV developed Auredia internally and deployed it across its manufacturing operations. Its Max edge devices collected sensor data from machinery and supplied AI prescriptive models. The models identified opportunity costs associated with production and reliability issues so operations teams could respond.
Results
Takeaway
NOV disclosed deployment scale, but did not quantify the resulting improvement in machine utilization or manufacturing cost.
Categories
- Size
- Large enterprise
- Industry
- Manufacturing
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and MLOptimization
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
NOV described Auredia's use of machine sensor data and AI models to identify manufacturing losses. Management said the platform operated at more than 50 facilities, with several hundred machines connected.
Full details are in the original sources.