Industrial Intelligence
An industrial analytics platform for process trends, production comparisons, anomaly analysis and machine-learning workflows.
PROJECT OVERVIEW
Direction and context
Industrial Intelligence is a generalized product concept for analysing industrial process data. It includes process trends, operating-time analysis, material-based filtering, comparison of production periods, quality measurements, correlations, anomaly detection and workflows for creating and managing machine-learning models.
Problem
Industrial process data is often difficult to compare, contextualize and turn into reusable analytical or machine-learning workflows.
Product direction
A generalized analytics architecture that connects trends, comparisons, quality signals, anomalies and model workflows.
Intended users
- Process engineers
- Industrial data teams
- Production and quality specialists
Capabilities
- Process trend analysis
- Production-period comparison
- Quality correlations
- Anomaly analysis
- Machine-learning model workflows
Development timeline
- Generalized use cases defined
- Analytics prototype in development
- Extensible model architecture next
Current stage
PrototypeCurrent focus: Developing an extensible analytics and machine-learning architecture.
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