Research Guide: Amazon SageMaker Enables Machine Learning Savings
Organizations are looking to leverage machine learning (ML) to unlock a number of business benefits—but are held back by the difficulties of managing data, models, and infrastructure in an efficient and agile manner.
Amazon SageMaker provides the solution, with a fully managed service that empowers every developer and data scientist with the ability to build, train, and deploy ML models quickly.
Since 2018, Nucleus has interviewed over 50 organizations encompassing over 400 unique machine learning projects on AWS. These interviews have allowed analysts to learn about the customers’ machine learning use cases, and the value delivered by tools like Amazon SageMaker.
Access this research to learn more about the specific benefits of Amazon SageMaker, including:
- Accelerated development cycles
- Cost savings
- Increased developer productivity
- Increased ML agility
