EKS InTec

Machine Learning Training Data
for Industrial Automation

USE CASE

What is ML Training Data?

Generate targeted training data for Machine Learning models when real data is limited, expensive, or incomplete.

Generate training data

Represent rare cases

Improve data quality

Impact of Machine Learning Training Data

Extendable scenarios

Different variants and conditions can be systematically covered.

Data independent

Training data is available without waiting for real production events.

Broader data basis

Models train on more diverse and complete datasets.

Known simulation parameters

All relevant states and parameters are defined and traceable.

How it works

ML Training Data from
simulation scenarios

Simulation enables systematic generation of training datasets for Machine Learning applications. Rare, critical, and edge-case scenarios can be represented reliably ??? especially when real operational data is scarce or costly to collect.

Data generation active
01

Evaluate

Define ML objective

Specify what the Machine Learning model should learn and predict.

02

Simulate

Configure scenarios

Set up simulation variants covering normal and edge cases.

03

Validate

Generate datasets

Run simulations and collect labeled training data automatically.

Get in touch

Want to bring simulation
into real operation?

Let’s discuss how EKS can support your use case with connected services, simulation expertise and RF::SUITE.

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