2 days ago Amazon Lookout for Equipment enables industrial customers to use machine learning to fully leverage their investment in equipment sensors to perform large-scale predictive maintenance across all of their industrial sites Siemens Energy, Cepsa, Embassy of Things, RoviSys, Seeq, and TensorIoT among customers and partners using Lookout for Equipment SEATTLE–(BUSINESS WIRE)–Today, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), announced the general availability of Amazon Lookout for Equipment, a new service that uses AWS-developed machine learning models to help customers perform predictive maintenance on the equipment in their facilities. Amazon Lookout for Equipment ingests sensor data from a customer’s industrial equipment (e.g. pressure, flow rate, RPMs, temperature, and power), and then it trains a unique machine learning model to accurately predict early warning signs of machine failure or suboptimal performance using real-time data streams from the customer’s equipment. With Amazon Lookout for Equipment, customers can detect equipment abnormalities with speed and precision, quickly diagnose issues, reduce false alerts, and avoid expensive downtime by taking action before machine failures occur. There are no up-front commitments or minimum fees with Amazon Lookout for Equipment, and customers pay for the amount of data ingested, the compute hours used to train a custom model, and the number of inference-hours used. To get started with Amazon Lookout for Equipment, visit: https://aws.amazon.com/lookout-for-equipment.