ML
Machine learning is a subfield of computer science and artificial intelligence focused on algorithms that enable computers to learn from examples. It is used for tasks where conventional programming with predefined rules is not feasible.
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Source content checked . English translation published 2026-10-27.
In business automation
Machine learning suits cases where a pattern can be learned from examples, such as classifying inquiries or estimating the likelihood of customer churn. It requires data that represents reality and evaluation on examples not used for training.
Examples
These examples illustrate a possible workflow. Adapt the connections and rules to your own systems.
Business process example
A team labels past inquiries with the department that handled them. A model classifies a new inquiry and suggests a destination; unclear inquiries go to human triage, and identified errors are saved for further evaluation.
Relevant tools
- Cohere
- Text processing models can be used for classification and search; there is no need to train a model from scratch for every workflow.
What to check
- Historical data can reflect errors and bias. Evaluate separately the groups and inquiry types the model encounters infrequently.