Experiment is an entity that represents all the steps in the AI lifecycle. Experiment’s goal is to answer your question with the data and settings you bring. You can run multiple Experiments within each AI task – and try to bring different types of data or make different data transformations in order to answer the same question and see which one works best. The first Experiment in your AI task will be created automatically. Each run within an Experiment must have the same data schema after all (optional) transformations. Each Experiment consists of several Environments: Training Playground, Staging (optional), and Production.