Amazon SageMaker JumpStart helps you quickly and easily get started with machine learning. To make it easier to get started, SageMaker JumpStart provides a set of solutions for the most common use cases that can be deployed readily with just a few clicks. The solutions are fully customizable and showcase the use of AWS CloudFormation templates and reference architectures so you can accelerate your ML journey. Amazon SageMaker JumpStart also supports one-click deployment and fine-tuning of more than 150 popular open source models such as natural language processing, object detection, and image classification models.

Use Cases

Discover the possibilities of Amazon SageMaker JumpStart

Predictive maintenance

Predictive maintenance

Take preventive actions such as part replacement and servicing at the most optimal time, extending the remaining useful life of your machinery at the lowest cost and improving operational efficiency.

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Computer vision

Computer vision

Bring automation or intelligent augmentation to a wide variety of applications to improve quality and speed.

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Autonomous driving

Autonomous driving

Detect objects such as pedestrians and other vehicles on the road to accelerate the pace of innovation and bring self-driving vehicles to life.

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Fraud detection

Fraud detection

Automate the detection of suspicious transactions and other anomalous behavior faster and alert your customers in a timely fashion to reduce potential financial loss and strengthen customer trust.

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Credit risk prediction

Credit risk prediction

Forecast the likelihood of a loan default to maximize risk-adjusted returns.

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Extract and analyze data from documents

Extract & analyze data from documents

Automatically extract, process, and analyze data from handwritten and electronic documents for more accurate investigation and faster decision making.

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Churn prediction

Churn prediction

Predict likelihood of customer churn and improve retention by honing in on likely abandoners and taking remedial actions such as promotional offers.

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Demand forecasting

Demand forecasting

Forecast demand metrics faster and more accurately for timely decision making to help meet customer expectations and reduce inventory carrying costs and waste.

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Personalized recommendations

Personalized recommendations

Deliver customized, unique experiences to customers to improve customer satisfaction and grow your business rapidly.

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Getting Started

Use case

Solution

Get Started

Predictive maintenance

Predictive maintenance for vehicle fleets

GitHub »

Predictive maintenance for manufacturing

GitHub »

Computer vision

Product defect detection in images

GitHub »

Autonomous driving

Visual perception with active learning for autonomous vehicles

GitHub »

Fraud detection

Detect malicious users and transactions

GitHub »

Fraud detection in financial transactions using deep graph library

GitHub »

Credit risk prediction

Explain credit decisions

GitHub »

Extract & analyze data from documents

Differential privacy for sentiment classification

GitHub »

Document summarization, entity, and relationship extraction

GitHub »

Handwriting recognition using Amazon SageMaker

GitHub »

Filling in missing values in tabular records

GitHub »

Churn prediction

Churn prediction with text

GitHub »

Demand forecasting

Demand forecasting with deep learning

GitHub »

Personalized recommendations

Entity resolution in identity graphs with deep graph library

GitHub »

Purchase modeling

GitHub »

Customers

  • Mission Automate
  • MyCase
  • Pivotree
  • Mission Automate
  • Mission Automate
    Mission Automate
    “Thanks to Amazon SageMaker JumpStart, we are able to launch ML solutions within days to fulfill machine learning prediction needs faster and more reliably.”

    Alex Panait, CEO – Mission Automate

  • MyCase
  • MyCase
    MyCase
    “Thanks to Amazon SageMaker JumpStart, we can have better starting points which makes it so that we can deploy a ML solution for our own use cases in 4-6 weeks instead of 3-4 months.”

    Gus Nguyen, Software Engineer – MyCase

  • MyCase
  • Pivotree
    Pivotree
    “With Amazon SageMaker JumpStart, we can build ML applications such as automatic anomaly detection or object classification faster and launch solutions from proof of concept to production within days.”

    Milos Hanzel, Platform Architect – Pivotree  

Resources

Blog


Deep demand forecasting with Amazon SageMaker

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Building an AI-powered Battlesnake with reinforcement learning on Amazon SageMaker

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Scaling your AI-powered Battlesnake with distributed reinforcement learning in Amazon SageMaker

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Fraud detection in financial transaction networks with Amazon SageMaker

Watch webinar »

AWS Heroes

AWS Machine Learning Heroes

Learn more about SageMaker solutions from the community
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