Question 1

What is the source of this data?

Accepted Answer

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.

Question 2

How often is the data updated?

Accepted Answer

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.

Question 3

What is Amazon SageMaker?

Accepted Answer

Amazon SageMaker is a comprehensive machine learning service provided by Amazon Web Services AWS that enables developers and data scientists to build train and deploy machine learning models quickly and at scale With SageMaker users have access to all the components needed for the entire machine learning workflow in a unified platform including data processing model training and model hosting making it easier to develop and deploy machine learning models

Machine Learning as a Service MLaaS is a category that Amazon SageMaker falls under offering a cloudbased platform for machine learning development and deployment without the need for users to manage the underlying infrastructure This category provides tools and services that streamline the process of creating machine learning models allowing businesses to leverage the power of artificial intelligence without the complexity typically associated with building and training models from scratch

Amazon SageMaker was founded by Amazon Web Services and was officially launched in 2017 The motivation behind the creation of SageMaker was to simplify the machine learning workflow and make it more accessible to developers and organizations of all sizes By providing a fully managed platform with builtin algorithms and tools Amazon aimed to accelerate the adoption of machine learning in various industries and simplify the deployment of models into production environments

As of the latest data available Amazon SageMaker holds a significant market share within the Machine Learning as a Service category with a growing number of businesses trusting the platform for their machine learning needs The forecast indicates that Amazon SageMaker is likely to continue expanding its market share in the future driven by the increasing demand for machine learning solutions and the continuous innovation and enhancements introduced by Amazon Web Services to the SageMaker platform

Question 4

How to get an updated list of companies that use Amazon SageMaker?

Accepted Answer

You can access an updated list of companies using Amazon SageMaker by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.

Question 5

How many customers does Amazon SageMaker have?

Accepted Answer

As of now, we have data on 11,301 companies that use Amazon SageMaker.

Question 6

Who uses Amazon SageMaker?

Accepted Answer

Amazon SageMaker is used by a diverse range of organizations across various industries, including "IT Services and IT Consulting", "Financial Services", "Technology, Information and Internet", "IT Services and IT Consulting", "IT Services and IT Consulting", "IT Services and IT Consulting", "IT Services and IT Consulting", "Retail", "Technology, Information and Internet", "Financial Services". For a comprehensive list of all industries utilizing Amazon SageMaker, please visit TheirStack.com.

Question 7

What companies use Amazon SageMaker?

Accepted Answer

Some of the companies that use Amazon SageMaker include Amazon Web Services (AWS), KPMG US, myGwork - LGBTQ+ Business Community, Lensa, Provectus, Amazon Web Services, Inc., Capgemini, Chewy, TieTalent, Fannie Mae and many more. You can find a complete list of 11,301 companies that use Amazon SageMaker on TheirStack.com.

Question 8

In which countries Amazon SageMaker is used the most?

Accepted Answer

Based on our data, Amazon SageMaker is most popular in Tunisia (1 companies), Thailand (10 companies), China (3 companies), Serbia (2 companies), United Arab Emirates (76 companies), Australia (117 companies), New Zealand (8 companies), Sweden (26 companies), Kenya (3 companies), Liechtenstein (1 companies). However, it is used by companies all over the world.

Question 9

How to find companies that use Amazon SageMaker?

Accepted Answer

You can find companies using Amazon SageMaker 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.

Company	Country	Industry	Employees	Revenue	Technologies
Amazon Web Services (AWS)	United States	IT Services and IT Consulting	155k		Amazon SageMaker
KPMG US	United States	Financial Services	54k		Amazon SageMaker
myGwork - LGBTQ+ Business Community	United Kingdom	Technology, Information and Internet	222		Amazon SageMaker
Lensa	United States	IT Services and IT Consulting	500		Amazon SageMaker
Provectus	United States	IT Services and IT Consulting	540	$12M	Amazon SageMaker
Amazon Web Services, Inc.	United States	IT Services and IT Consulting	1.5M	$3M	Amazon SageMaker
Capgemini	France	IT Services and IT Consulting	357k	$24B	Amazon SageMaker
Chewy	United States	Retail	13k	$8.9B	Amazon SageMaker
TieTalent	Switzerland	Technology, Information and Internet	29		Amazon SageMaker
Fannie Mae	United States	Financial Services	13k	$29B	Amazon SageMaker

Companies that use Amazon SageMaker

List of companies using Amazon SageMaker

Amazon SageMaker customers by country

United States

United Kingdom

India

Canada

France

Spain

Germany

Australia

Brazil

Singapore

Amazon SageMaker alternatives and competitors

TensorFlow

PyTorch

scikit-learn

ML Flow

MLflow

Microsoft LUIS

ENorm

CUDA

Stan

Kubeflow

Neuro

Azure Machine Learning

Lateral

Streamlit

Amazon Machine Learning

NLTK

Perplexity

Triton

Amazon Text to Speech

Kur

Caffe

Appen

Propel

Ludwig

IBM Watson

Document AI

Aquarium

Fritz

Lamina

MXNet

Amazon Textract

Apache MXNet

Tensorflow Lite

Google AI Platform

Renate

Clipper

Igel

DeepSpeed

Amazon Comprehend

Bard AI

Microsoft Cognitive Services

RAPIDS

Weka

Gradio

OpenVINO

Manifold

Apache Spark MLlib

GraphRAG

Amazon Kendra

Run:ai

How to target Amazon SageMaker users

What is the source of this data?

What is the source of this data?

How often is the data updated?

How often is the data updated?

What is Amazon SageMaker?

What is Amazon SageMaker?

How to get an updated list of companies that use Amazon SageMaker?

How to get an updated list of companies that use Amazon SageMaker?

How many customers does Amazon SageMaker have?

How many customers does Amazon SageMaker have?

Who uses Amazon SageMaker?

Who uses Amazon SageMaker?

What companies use Amazon SageMaker?

What companies use Amazon SageMaker?

In which countries Amazon SageMaker is used the most?