# AI data prep assistant

> AI data prep assistant - The AI data preparation assistant is a powerful tool designed to streamline
> and automate the data preparation process. It combines automated data quality checks with AI-powered
> data preparation suggestions to help data scientists and analysts prepare their datasets more
> efficiently.

This Markdown file sits beside the HTML page at the same path (with a `.md` suffix). It summarizes the topic and lists links for tools and LLM context.

Companion generated at `2026-05-06T18:17:09.578773+00:00` (UTC).

## Primary page

- [AI data prep assistant](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/llm-and-genai-apps/data-prep-assist.html): Full documentation for this topic (HTML).

## Related documentation

- [Developer documentation](https://docs.datarobot.com/en/docs/api/index.html): Linked from this page.
- [Developer learning](https://docs.datarobot.com/en/docs/api/dev-learning/index.html): Linked from this page.
- [AI accelerators](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/index.html): Linked from this page.
- [LLM and GenAI applications](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/llm-and-genai-apps/index.html): Linked from this page.

## Documentation content

[Access this AI accelerator on GitHub](https://github.com/datarobot-community/ai-accelerators/tree/main/generative_ai/AI_data_prep_assistant)

The AI data preparation assistant is a powerful tool designed to streamline and automate the data preparation process. It combines automated data quality checks with AI-powered data preparation suggestions to help data scientists and analysts prepare datasets more efficiently.

Data preparation typically consumes 60-80% of a data scientist's time. This involves repetitive tasks like identifying quality issues, cleaning data, and transforming it into a suitable format for analysis. Manual data preparation is not only time-consuming, but prone to inconsistencies and human error.

This accelerator provides the following features to assist with data preparation:

- An automated data quality assessment across 12 key dimensions.
- AI-powered suggestions for data preparation steps.
- Automated code generation and execution for data cleaning.
- Interactive visualizations of data quality issues.
- A real-time data transformation preview.