AI Studio
AI Studio - part of Siemens RapidMiner, within the Intelligence Center X initiative - is where teams build explainable data science, machine learning, and generative AI models, on a visual canvas or in code. It sits alongside Mendix in the Siemens ecosystem: the models you build and deploy here become the intelligence inside the applications your business runs.
Data science and AI - visual or code.
AI Studio serves two audiences on one platform: business users and domain experts who build models without writing code, and data scientists who want full control in Python and R. It covers the whole lifecycle, from connecting data to deploying and operating models in production.
Talk to an expertVisual or code
Build on a drag-and-drop workflow canvas, or drop into integrated Python and R notebooks - the same platform, whichever your team prefers.
Connects to your data
Pull directly from databases, data lakes, cloud platforms, and IoT streams, so models learn from the data you already have.
The whole lifecycle
Data exploration, preparation, machine learning, model operations, and visualization in one place - not a stack of stitched-together tools.
Explainable and governed
Transparent, explainable models with security, governance, and audit controls - AI you can stand behind in regulated settings.
What teams build with AI Studio.
Illustrative examples of where a data-science and ML platform earns its keep.
Predictive maintenance
Predict equipment failures before they happen from sensor and IoT data, so maintenance is planned rather than reactive.
Demand and sales forecasting
Forecast demand, sales, and inventory from historical and market data, so planning is grounded in evidence.
Customer churn and retention
Spot the patterns that precede churn and act early to keep the customers worth keeping.
Fraud and anomaly detection
Flag unusual transactions and behaviour so fraud and costly errors are caught before they spread.
Quality and defect prediction
Predict defects and quality issues on the line, so problems are caught earlier and less is scrapped.
Text, sentiment, and GenAI
Analyse documents and feedback, classify text, and build generative-AI features grounded in your own data.
Where Mendix comes in.
A model is only valuable once people use it. As Siemens brings AI Studio and Mendix together under Intelligence Center X, the natural pattern is to build and deploy the model in AI Studio, then consume it inside a Mendix application - a claims tool, an operations dashboard, an approval workflow - so the intelligence reaches the people who act on it, governed end to end. That Mendix layer is what Golden Earth builds, and we help you see where each part of the Siemens stack fits.
AI Studio, answered.
What is AI Studio?
Who is AI Studio for?
What can you build with AI Studio?
How does AI Studio relate to Mendix?
Is AI built in AI Studio governed and explainable?
Can Golden Earth help us put AI Studio models into production?
Turning a model into a working application?
Talk to us about the governed Mendix layer that puts AI Studio to work.
