Development of platforms that organize datasets, experiments, models, computational tools, and research workflows in one environment.
Platforms can include user management, datasets, experiment tracking, computational jobs, model services, dashboards, and APIs.
They can support collaborative AI research, scientific computing, model development, and reproducible experimentation.
Implementation is selected according to the available data, technical constraints, required level of automation, and the existing software or research environment. The solution can be implemented as a standalone component or integrated into a larger system.
The resulting system is intended to provide a clear computational workflow that can be evaluated, maintained, and extended as the project develops. Model choice, data processing, interfaces, and deployment can therefore be adapted to the requirements of the specific project.