Description
GRADIANT's AI lab is a cutting-edge facility for developing and validating artificial intelligence solutions. It features a comprehensive infrastructure for AI experimentation, including high-performance computing clusters, specialised GPU arrays, and advanced model serving platforms. Through end-to-end MLOps integration, it leverages scalable computing resources and open-source frameworks for deploying various AI models and automation pipelines. Equipped with dedicated model training environments and high-capacity data processing units, it serves as a versatile AI development and deployment centre. The lab incorporates specialised hardware for both training and inference optimisation, along with advanced monitoring and experimentation tracking tools, enabling comprehensive development and validation of AI applications and services across sensor and IoT data, computer vision, natural language processing, and machine learning domains.
What could be offered through this facility?
For example:
- Validation of AI models in controlled environments with comprehensive metrics tracking, A/B testing frameworks, and performance monitoring to ensure models meet business requirements and industry standards before deployment. For instance, validating a computer vision model for crop detection and classification, including bias detection and robustness testing.
- Data quality analysis and enhancement through automated pipelines, including data profiling, anomaly detection, and data drift monitoring.
Example services include analysing historical production data for inconsistencies, validating data completeness, and ensuring proper formatting across different data sources before model training.
- Testing and validation of dataspace components and complete use cases in sandbox environments, allowing organisations to experiment with data sharing scenarios, federated learning setups, and cross-organisational AI workflows.
For example, simulating a multi-party data collaboration scenario for predictive maintenance while ensuring data sovereignty and privacy requirements.
