Imagine your machines can do predicting alarms 24 hours in advance, with a 91% accuracy to prevent any downtime for 24/7 with embedded machine learning and AI module in scalable analytics platform. This is what FactoryTalk® Analytics LogixAI™ can do by auto-discovery, self-configuration, self-learning and self-maintaining in your controller system.
Don't waste data - Applying analytics within the controller application is a new approach to achieving process improvements. Start modeling your system to identify scrap potential and out of tolerance operational behavior in advance of downtime or losses.
Take down your burden - Many existing analytics technologies require deep expertise in both data science and industrial processes. But this Add-On module for controllers reduces that burden by doing the job of a data scientist and giving everyone access to powerful analytics. You can simply apply embedded and predictive analytics to turn raw data about how a system operates into actual decisions to maximize the operation and maintenance of the system.
In this 11th Asia Pacific wide Smart machines webinar series, you can learn how to:
- Save valuable time – understand how machine learning works within broader advanced and scalable analytics platform and ecosystem and help save time and resources to analyze system operation and predict any problems and downtime incidents.
- Work smarter - FactoryTalk Analytics LogixAI module can analyze variables from line assets and multiple type of machines and predict a measurement, virtually. Learn the best use cases from machine builders and maximize this embedded optimization function in your control system.
- Empower yourself - FactoryTalk Analytics LogixAI module runs fully in-chassis and uses artificial intelligence (AI) to detect production anomalies and alert control and operation engineers so they can investigate or intervene, as necessary.
Join this webinar to innovate your smart machines journey and Initiate Machine Learning (ML) with less cost and help your end customers leverage operational data to become actionable information. No data scientist is required.