Data Engineering

Data Engineering refers to the set of practices used to collect, transform, organize, and distribute data so it can be used effectively.

In a context where data often comes from multiple, raw, and unstructured sources, CATIE plays a key role in retrieving, cleaning, transforming, and storing this data to make it accessible and usable.

AI Model Deployment

AI model deployment involves putting models into production so they can be used operationally in real-world environments (for example, on a publicly accessible website).

This requires selecting a robust and secure infrastructure that ensures smooth, real-time execution of predictions while optimizing costs.