Data Science, Artificial Intelligence, Open Data, Machine Learning, Open Source.
and educating team members on using the model to make predictions or decisions. Building trust between the model and anyone affected by it. Detecting errors and resolving them. Measuring performance of the model in real world applications. Fine-tuning the model based on shifts in the environment.