Exploring, analyzing and leveraging your industrial data shouldn't require Python expertise. AI Notebook combines a Python development environment with an AI agent that knows your data and its context, taking you from a question to a verifiable result.
What AI Notebook does
AI Notebook is a Python development environment built into OIAnalytics. It gives direct access to all contextualized data and platform objects, within the user's access rights.
Its AI agent lets you work in natural language: for each request, it proposes an analysis or development plan, runs it step by step in Python and refines its strategy based on the results of each step. It supports a wide range of uses:
Natural-language data exploration, statistical analysis and advanced analytics.
Advanced data processing with physical and thermodynamic models…
Machine learning model development for deployment in OIAnalytics.
Automated platform configuration.
Any processing that Python and its libraries make possible: endless possibilities.
What you gain
Answers on your own data by asking questions in natural language: ask a question, get an analysis, a chart or a model.
More autonomous process experts: no need to master Python to carry out an advanced analysis.
More productive data scientists: exploration, cleaning and modeling accelerated by the agent, then deployed to production in the same platform.
Verifiable results: every step is visible Python code that users can review, edit, rerun and audit.
Key features
An agent that knows your plant: it has access to the solution's configuration (data names, context, batch structure, assets…) and to the solution documentation, whereas a generic assistant knows nothing about your data.
Iterative reasoning: analysis plan, execution, review of results and adjustment, step by step.
A hybrid generative AI + Python approach: natural language to interact, executed code to compute, for reliability and explainability.
From notebook to production: models you build are deployed directly through Python model execution.
Direct access to platform data and objects through the API, with no extraction.
Access rights management and notebook sharing; the agent only sees data the user can access.
