Current methods of analyzing data from industrial equipment often lead to too many alerts or an overgeneralized physics or statistics based model that does not adapt to the unique operating conditions of each piece of equipment. Amazon Lookout for Equipment benefits customers who have their own sensors generating data on industrial equipment and want to build custom models to detect abnormal behavior such as failure patterns or inefficient processes. Amazon Lookout for Equipment’s key benefits include:
Ease of use: Lookout for Equipment removes the complexities of data science so you can focus on your data and use case without needing deep technical experience in machine learning.
Fast proof of concepts: Lookout for Equipment automates away many of steps in building models on industrial data so you can focus getting the right output and fast.
Cost Effectiveness: Lookout for Equipment is priced based on usage, so training and inferencing can be set up and automated for cost effective model deployment,
Accuracy: While not all equipment issues can be seen in the data, Lookout for Equipment can find key abnormal equipment behavior with best in class detection algorithms
Scale: Lookout for Equipment can be used across thousands of pieces of equipment located across the world.