Accelerate model development with Amazon SageMaker

Nucleus interviewed multiple AWS customers who developed machine learning and deep learning models using Amazon SageMaker to accelerate model development, minimize administrative costs, and improve agility for data science teams. Customers cited specific benefits, including 68 percent faster model development and $500,000 in annual cost savings relative to building and training models in a self-hosted environment. Now, SageMaker is central to all interviewed organizations’ ongoing data science strategies enabling teams to act quickly on new initiatives and rapidly iterate on models in production.