All modules

Data & Intelligence

Datasets, models and recommendations from plant data

Data & AI prepares datasets, trains small models, keeps knowledge bases and gives rule-based recommendations. The IRIS assistant only reads and never changes records.

Data & AI reads CMMS work orders live.

What it does

  1. 01

    Data and models

    Set up sources, streams and pipelines. Experiments train on real platform data with a small algorithm set.

  2. 02

    Knowledge bases

    Documents are searched by meaning and by keyword together. Each document has its own read permissions.

  3. 03

    Rule-based recommendations

    Threshold rules propose actions and show the basis of each score. A person applies or dismisses them.

Where the data comes from

  • Other IRIS modules, read live without copying their data.
  • Platform events, such as IoT alarms, used for correlations.
  • Uploaded documents added to a knowledge base.

Works with

Good to know

  • A recommendation score is a rule priority. It is not a model prediction or a confidence level.
  • Recommendations default to suggestions a person applies or dismisses. Automatic apply can be set per recommendation rule.
  • Machine, process and product knowledge covers the customer's plant. IRIS product questions use a shared knowledge base.

Screens from the IRIS demo

Sample data from the IRIS demo factory. Click a screen to enlarge it.

Recommendations show a rule priority, not a probability.
Models: trained models with version, status and where they serve.

Try Data & AI in IRIS

Start a 14-day trial on your plant's data, or open the interactive demo with sample data.