Amazon Sagemaker
Amazon SageMaker is a fully managed machine learning service that enables developers and data scientists to build, train, and deploy machine learning models quickly. It provides an integrated environment encompassing data preparation, model training, tuning, deployment, and monitoring,…
Key facts
- First appeared
- 2017
- Category
- technology
- Problem solved
- Amazon SageMaker was created to address the significant challenges data scientists and developers faced in getting machine learning models from experimentation to production. Before SageMaker, this process was fragmented, requiring manual setup of development environments, managing complex compute infrastructure for training, and grappling with the intricacies of deploying and scaling models, leading to slow development cycles and operational overhead.
- Platforms
- AWS Cloud
Related technologies
Notable users
- Formula 1
- Intuit
- GE Healthcare
- T-Mobile
- National Football League (NFL)
- BMW