I am from Wildlife Studios (a startup game company) and we have been constructing an ML Platform. Kedro has an important role on that, being one of the core too

I am from Wildlife Studios (a startup game company) and we have been constructing an ML Platform. Kedro has an important role on that, being one of the core tools. In my opinion, the main advantages of Kedro are: * standardize the development of ML pipelines * easy to extend with plugins * easy to share pipelines components between different projects * data catalog (also easy to create custom datasets) * kedro-viz Today, we have a cookiecutter template with a custom Kedro pipeline that is used by new projects. It has the most common steps of ML pipelines developed here in Wildlife. Therefore, speeding up the development of new models. Moreover, it has the Kedro MLFlow plugin for automatic experiment tracking. Finally, we also have a catalog of pipeline steps that can be easily added to a Kedro project.