Real-world AI applications
Learn about how you can build applications using the AI features in Exasol.
This section shows what you can build with Exasol’s AI capabilities. It includes a production-ready text analysis extension and worked examples that demonstrate specific use cases.
Text analysis
The Text AI Extension runs named entity recognition, text summarization, keyword extraction, and information extraction directly inside your database using SQL UDFs. Once the extension is deployed, you can start analyzing text columns from SQL immediately.
Application examples
These articles walk through specific use cases, showing how to combine Exasol’s AI tools for practical outcomes.
| Application | What it does | Key tools used |
|---|---|---|
| Text summarization | Summarize large volumes of text at scale | Transformers Extension, local LLM |
| Metadata enrichment | Auto-generate schema documentation with AI | Metadata Agent, Ollama |
| AI process mining | Analyze business process bottlenecks from event logs | AI Process Mining demonstrator |
| Sales forecasting | Build and run forecasting models on Exasol data | Exasol AI Lab, scikit-learn |
Next steps
- Text AI Extension if you want production text analysis out of the box
- Text summarization for a hands-on example using the Transformers Extension
- Metadata enrichment to improve your schema documentation for better AI-assisted querying
