Our service capacity in the Cloud Service field is defined by professional figures expert in the related fields:
- Data Scientists for Model Development using Model Building Services.
- MLOps Engineers & Data Scientists for the Governance of the Machine Learning Process with MLOPS tools.
Business Analyst & Data Scientists to accompany the Customer in the use of AutoML solutions
Model Building
- Azure Machine Learning Studio/Automated ML
- Designer (Drag-and-drop interface to speed up model building via Pipeline)
MLOps – Service for Deploy, Monitoring and Retraining & Governance
- MLFlow: Tracking and model deployment, model API
- Azure Machine Learning – End Point
- Azure Monitoring
- Automated Retraining
AutoML
- Azure Machine Learning – AutoML: classification, regression, forecasting, computer vision & NLP
Frameworks
- Python SDK / Jupyter