amazon Lookout for Equipment, AWS’s machine learning (ML) service for predictive maintenance of industrial equipment, will no longer be open to new customers as of October 17, 2024. Existing customers will be able to use the service (through both 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 have no plans to introduce any new features for the service.
This post discusses how to maintain access to Lookout for Equipment after it closes to new customers and some alternatives to Lookout for Equipment.
Maintain access to Lookout to find equipment
You are considered an existing customer if you use the service, either through cloud training or cloud inference, at any time during the 30 days prior to October 17, 2024 (September 17, 2024 to October 16, 2024). To maintain access to the service after October 17, 2024, you must complete one of the following tasks from the account for which you wish to maintain access:
- In the Lookout for Equipment console, start a new project and successfully complete a model training.
- In 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 Teams API Calls
CreateInferenceScheduler
andStartInferenceScheduler
(andStopInferenceScheduler
when finished)
If you have questions or need assistance, please 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 a number of partners. You can search for 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 predictive maintenance expertise and typically offers the fastest time to value by leveraging the specialized expertise of 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 offers a set of tools that enable you to build, train, infer, and deploy ML models for your use case with fully managed infrastructure, tools, and workflows.
Summary
While 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 for building customer models, and also offers a variety of partner solutions through the AWS Partner Network. You should explore these options to determine what works best for your specific needs.
For more details, please see the following resources:
About the author
Stuart Gillen Stuart is a Senior Product Manager at Lookout for Equipment on AWS. He has held a variety of roles in engineering management, business development, product management, and consulting. Most of his career has focused on industrial applications, specifically reliability practices, maintenance systems, and manufacturing.
Stuart is the Product Manager for Lookout for Equipment on AWS, where he leverages his industrial and ai expertise on applications focused on predictive maintenance and condition monitoring.