By using machine learning or AI, computers learn to perform tasks without being explicitly programmed. An example of this would be the x86 machine code used by Intel processors. Binary machine code that is executed directly by the computer’s CPU. Consider these facets: Binary machine code. It can continuously monitor a production operation, detecting anomalies against its derived understanding, empowering operators and technicians to easily apply machine learning concepts to get ahead of product quality issues and help protect process integrity-all without having to develop, validate or sustain home-grown machine learning algorithms. Machine learning is a data science technique and falls under a larger Artificial Intelligence umbrella, that allows computers to use historical data loads to forecast future behaviors, outcomes, and trends. AI and machine learning can be said to exist on a continuum of abstraction, an important and even inevitable concept in computing. ![]() This add-on module for ControlLogix® controllers fits directly into a control chassis and streams controller data over the backplane to build predictive models. Our FactoryTalk® Analytics™ LogixAI® module changes the game by applying analytics within the controller application to achieve process improvement. Industrial automation and machine learning have the same goal: to optimize workflows and remove productivity barriers by automatically handling tedious time-consuming tasks. What if you could harness the power of machine learning to predict anomalies or estimate operational variables in your production processes? And what if you could do this without the help of a data scientist? Many existing analytics technologies require deep expertise in both data science and industrial processes, which prevents many OT professionals from taking advantage of basic analytics at the plant floor.
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