Preserve access and explore alternatives for Amazon Lookout for Equipment

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Amazon Lookout for Equipment, the AWS machine learning (ML) service designed for industrial equipment predictive maintenance, will no longer be open to new customers effective October 17, 2024. Existing customers will be able to use the service (both using the AWS Management Console and API) as normal and AWS will continue to invest in security, availability, and performance improvements for Lookout for Equipment, but we do not plan to introduce new features for this service.

This post discusses how you can maintain access to Lookout for Equipment after it is closed to new customers and some alternatives to Lookout for Equipment.

Maintaining access to Lookout for Equipment

You’re considered an existing customer if you use the service, either through cloud training or cloud inferencing, any time in the 30 days prior to October 17, 2024 (September 17, 2024, through October 16, 2024). To maintain access to the service after October 17, 2024, you should complete one of the following tasks from the account for which you intend to maintain access:

• On the Lookout for Equipment console, start a new project and successfully complete a model training
• On the Lookout for Equipment console, open an existing project, schedule an inference for a given model, and run at least one inference
• Use Lookout for Equipment API calls CreateInferenceScheduler and StartInferenceScheduler (and StopInferenceScheduler when done)

For any questions or support needed, contact your assigned AWS Account Manager or Solutions Architect, or create a case from the AWS console.

Alternatives to Lookout for Equipment

If you’re interested in an alternative to Lookout for Equipment, AWS has options for both buyers and builders.

For an out-of-the-box solution, the AWS Partner Network offers solutions from multiple partners. You can browse solutions on the Asset Maintenance and Reliability page in the AWS Solutions Library. This approach provides a solution that addresses your use case without requiring you to have expertise in predictive maintenance, and typically provides the fastest time to value by using the specialized expertise of the AWS Partners.

If you prefer to build your own solution, AWS offers AI/ML tools and services to help you develop an AI-based predictive maintenance solution. Amazon SageMaker provides a set of tools to enable you to build, train, infer, and deploy ML models for your use case with fully managed infrastructure, tools, and workflows.

Summary

Although new customers will no longer have access to Lookout for Equipment after October 17, 2024, AWS offers a powerful set of AI/ML services and solutions in the form of SageMaker tools to build customer models, and also offers a range of solutions from partners through the AWS Partner Network. You should explore these options to determine what works best for your specific needs.

For more details, refer to the following resources:

• Amazon Lookout for Equipment Developer Guide
• Amazon SageMaker Developer Guide
• AWS Solutions Library

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About the author

Stuart Gillen is a Sr. Product Manager, Lookout for Equipment, at AWS. Stuart has held a variety of roles in engineering management, business development, product management, and consulting. Most of his career has been focused on industrial applications specifically in reliability practices, maintenance systems, and manufacturing.
Stuart is the Product Manager for Lookout for Equipment at AWS where he utilizes his industrial and AI background in applications focusing on Predictive Maintenance and Condition Monitoring.

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