- Custom Model Development: Design and implementation of AI models tailored to specific application requirements.
- Multimedia and Time-Series Analysis: Support for AI applications involving image, video, audio, and temporal data.
- Workflow Orchestration: Support for orchestrating AI workflows across distributed and heterogeneous computational resources.
Key Value: Enabling organizations to develop AI models tailored to specific domains and operational requirements.
Practical example
Organizations often require AI models tailored to their specific data and operational contexts.
This service facilitates, among other activities:
- Time-Series Modelling: Developing forecasting and anomaly detection models for sensor and machine data streams.
- Computer Vision Applications: Developing object detection and quality control models for industrial inspection scenarios.
- Framework Selection: Supporting implementation using frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, YOLO, OpenCV, and ONNX Runtime.
Case Study: The service supports an enterprise in developing AI models for automated visual inspection and predictive maintenance using domain-specific datasets and workflows.
