This document provides explanations and recommendations on how to administrate AI Builder in your organization. This includes defining permissions and roles, model and environment lifecycle, as well as managing capacity.

In today’s complex and disruptive world, industries shift rapidly, and organizations face immense pressure to remain agile and resilient. Now more than ever, it’s critical for organizations to consider how AI can help them achieve their goals.

“With automated machine learning in Azure Machine Learning service, we can focus our testing on the most accurate models and avoid testing a large range of less valuable models, because it retains only the ones we want. That saves months of time for us.”

We’re in the midst of a fevered period of hype about how artificial intelligence will shape the future of work. But, as Nigel Duffy, Global AI Innovation Leader at EY, says: “while there is a lot of noise regarding AI, there’s been a lack of in-depth discussion and analysis of how it’s actually going to transform businesses.”