A manufacturing example: compare shifts and identify machines with issues. Three tasks you can also solve independently with AI.
AI Pipelines: your application does not have to wait for the next development project.
Clean raw data, standardize units, calculate custom metrics: describe the task. AI creates tailored processing logic with full flexibility, without requiring programming skills.
Check the logic with test data and refine it in natural language. This reduces script development, coordination and waiting time.
Explore AI PipelinesAI Pipelines and AI Notebooks are tools within the IoT Data Hub.“Standardize timestamps and assign measurements to shifts.”
The goal: comparable data your application can build on directly.
Does your question go beyond a dashboard? Build the analysis you need.
AI Notebooks turn your question into a tailored analysis of stored machine data. Adjust comparisons and visualizations with follow-up questions, without data exports or a separate analysis commission.
Explore AI Notebooks“Compare process trends in the early and late shifts. Where do they differ?”
The next question follows directly: narrow down differences, change calculations and explore results.
Many machines. A clear view of what needs attention now.
The Manufacturing Analytics Copilot in Manufacturing Insights analyzes available production data in the background. It shows which machine has an issue and the evidence behind it.
Your team saves the daily search through individual dashboards. It reviews prioritized findings, asks follow-up questions in chat and decides on the next action.
Explore the Manufacturing Analytics Copilot
Turn many data points into a concrete starting point for your team.
30-minute product demo
Where does your team lose the most time today?
Tell us about a task that currently needs scripts, specialized analyses or manual checks. In 15 minutes, we show you the relevant AI workflow and discuss where to start.