It is the first purpose-built, easy-to-use continuous integration and continuous delivery (CI/CD) service for machine learning (ML). With SageMaker Pipelines, you can create, automate, and manage end-to-end ML workflows at scale.
9
companies
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Amazon SageMaker Pipelines
Company | Country | Industry | Employees | Revenue | Technologies |
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United Kingdom | It Services And It Consulting | 26K | $1.5B | ![]() Amazon SageMaker Pipelines | |
United States | It Services And It Consulting | 230 | $22M | ![]() Amazon SageMaker Pipelines | |
Germany | Automation Machinery Manufacturing | 311K | $73B | ![]() Amazon SageMaker Pipelines | |
United States | Business Consulting And Services | 510 | $7M | ![]() Amazon SageMaker Pipelines | |
United States | It Services And It Consulting | 170 | $15M | ![]() Amazon SageMaker Pipelines | |
Professional Services |
| ![]() Amazon SageMaker Pipelines | |||
Colombia | Food And Beverage Manufacturing | 10K | $6.9M | ![]() Amazon SageMaker Pipelines | |
France | Performing Arts | 5 |
| ![]() Amazon SageMaker Pipelines |
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We have data on 9 companies that use Amazon SageMaker Pipelines. Our Amazon SageMaker Pipelines customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
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Technoloy Usage Stadistics and Market Share
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Amazon SageMaker Pipelines is used in 5 countries
Frequently asked questions
Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.
We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.
Amazon SageMaker Pipelines is a sophisticated technology within the realm of Machine Learning Tools, designed to streamline the process of building, managing, and deploying machine learning workflows. It enables data scientists and developers to create end-to-end ML pipelines that are efficient, scalable, and easy to reproduce. By providing a visual interface for building workflows, Amazon SageMaker Pipelines simplifies the complexity of managing ML tasks, allowing users to focus more on the development and optimization of models.
Amazon SageMaker Pipelines falls under the category of Machine Learning Tools, specifically focusing on pipeline orchestration and automation. This technology helps in structuring ML workflows by defining each step from data preparation to model deployment, ensuring a cohesive and efficient process. It allows for versioning of each step, facilitating reproducibility and collaboration among team members working on ML projects. With features like automated retraining and model monitoring, Amazon SageMaker Pipelines enhances the efficiency of machine learning development cycles.
Founded by Amazon Web Services, Amazon SageMaker Pipelines originated from the growing need to simplify and streamline the machine learning workflow process for data scientists and developers. Launched as part of the Amazon SageMaker ecosystem, the technology aimed to address the challenges faced in managing complex ML pipelines and enable faster experimentation and deployment of models. Since its inception, Amazon SageMaker Pipelines has gained significant traction in the market, establishing itself as a prominent player in the Machine Learning Tools category.
In terms of current market share, Amazon SageMaker Pipelines holds a strong position within the Machine Learning Tools category. With the increasing adoption of machine learning technologies across various industries, the demand for robust pipeline orchestration tools like Amazon SageMaker Pipelines is expected to grow further. Industry forecasts suggest a positive outlook for the technology, indicating a potential increase in market share as organizations continue to invest in optimizing their machine learning workflows.
You can access an updated list of companies using Amazon SageMaker Pipelines by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.
As of now, we have data on 9 companies that use Amazon SageMaker Pipelines.
Amazon SageMaker Pipelines is used by a diverse range of organizations across various industries, including "It Services And It Consulting", "It Services And It Consulting", "Automation Machinery Manufacturing", "Business Consulting And Services", "It Services And It Consulting", "Professional Services", "Food And Beverage Manufacturing", "Performing Arts". For a comprehensive list of all industries utilizing Amazon SageMaker Pipelines, please visit TheirStack.com.
Some of the companies that use Amazon SageMaker Pipelines include GlobalLogic UK&I, Verana Health, Siemens, Affine, tCognition, Venturesathi Business Services LLP, Grupo Nutresa, TMNL and many more. You can find a complete list of 9 companies that use Amazon SageMaker Pipelines on TheirStack.com.
Based on our data, Amazon SageMaker Pipelines is most popular in United States (3 companies), Colombia (1 companies), France (1 companies), Germany (1 companies), United Kingdom (1 companies). However, it is used by companies all over the world.
You can find companies using Amazon SageMaker Pipelines by searching for it on TheirStack.com, We track job postings from millions of companies and use them to discover what technologies and internal tools they are using.
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