Deep Learning
Deep learning is a set of machine learning methods based on artificial neural networks. “Deep” refers to learning through layered structures that progressively extract features from raw data.
On this page
Source content checked . English translation published 2026-10-27.
In business automation
Deep learning uses neural networks with many layers and underpins capabilities such as speech recognition and language models. Automation often uses a ready-made service that runs the model.
Examples
These examples illustrate a possible workflow. Adapt the connections and rules to your own systems.
Business process example
A service call recording is sent to a transcription engine. The returned text goes on to summarization and creation of a follow-up task; sections that were not understood are flagged for review against the original recording.
Relevant tools
- Deepgram
- Speech processing services can be integrated into a workflow through an API, subject to the required language and model support.
What to check
- A complex model does not guarantee suitability for your Hebrew, accents, or background noise. Check it against real source material.