Analyze Existing Sensor Data to Detect Abnormal Equipment Behavior with Amazon Lookout for Equipment

Successfully implementing predictive maintenance requires using the specific data collected from all of your machine sensors, under your unique operating conditions, and then applying machine learning (ML) to enable highly accurate predictions. However, implementing an ML solution for your equipment can be difficult and time-consuming. In this tech talk, we will introduce you to Amazon Lookout for Equipment, which allows you to analyze the data from the sensors on your equipment to automatically train a machine learning model based on your equipment data – with no machine learning experience required. Lookout for Equipment uses your unique ML model to analyze incoming sensor data in real-time and accurately identify early warning signs that could lead to machine failures. This means you can detect equipment abnormalities with speed and precision, quickly diagnose issues, take action to reduce expensive downtime, and reduce false alerts. Learning Objectives: -Learn how Lookout for Equipment handles data from up to 300 sensors in one ML model, along with historical logs, to build a custom ML model and give you accurate alerts when your equipment behaves abnormally -Learn how you can use data from Lookout for Equipment to set up automatic actions to be taken when anomalies are detected, such as filing a trouble ticket or sending an automatic alarm -Learn how you can use data from Lookout for Equipment to set up automatic actions to be taken when anomalies are detected, such as filing a trouble ticket or sending an automatic alarm To learn more about the services featured in this talk, please visit: https://aws.amazon.com/lookout-for-equipment Subscribe to AWS Online Tech Talks On AWS: https://www.youtube.com/@AWSOnlineTechTalks?sub_confirmation=1 Follow Amazon Web Services: Official Website: https://aws.amazon.com/what-is-aws Twitch: https://twitch.tv/aws Twitter: https://twitter.com/awsdevelopers Facebook: https://facebook.com/amazonwebservices Instagram: https://instagram.com/amazonwebservices ☁️ AWS Online Tech Talks cover a wide range of topics and expertise levels through technical deep dives, demos, customer examples, and live Q&A with AWS experts. Builders can choose from bite-sized 15-minute sessions, insightful fireside chats, immersive virtual workshops, interactive office hours, or watch on-demand tech talks at your own pace. Join us to fuel your learning journey with AWS. #AWS