Machine Learning Open Studio from Activeeon has been designed for different types of users to build machine learning pipelines and meet their profession-specific needs : non-AI engineers, data analysts, data scientists, AI architects.

1. Machine Learning Open Studio Users
ML Studio (generic tasks)
Data Analytics Data scientists AI ArchitectsNon AI Engineers
ML Beginners ML Experts
- Data cleaning
- Data transformation
- Model training
- Prediction
- Data visualization
Jupyter Kernel + AutoML + Job Analytics
- Build your pipeline locally using your favorite kernel
- Transform and Scale your pipeline using Proactive
kernel
- Optimize your model hyperparameters using AutoML
- Evaluate and compare your different models using Job
Analytics
Automation Dashboard +
Resources Manager
- Deploy your Model as a
Service and manage its
lifecycle
- Schedule and monitor end to
end ML pipelines
- Manage and select the
resources adapted for each
pipeline task