Automation Insights

Our thoughts on innovation and best practices in the automation industry.

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    Six ways edge computing can be leveraged in machine learning applications

    Discover the power of real-time analytics, predictive maintenance, and Meta Loop Processing in the age of Industry 4.0 Machine learning applications often utilize edge computing, which means running machine learning algorithms and models on local devices (the “edge” of the network) rather than relying solely on centralized control systems, data historians and cloud servers.  This…

  • Machine learning unlocks capacity, reduces costs and improves quality in modern manufacturing

    An incredible example of machine learning in practice, providing our client with more than $600,000 of annual savings. Machine learning (ML) and artificial intelligence (AI) are more common in modern manufacturing than most people realize—and they’ve already revolutionized manufacturing. Let’s dig a little deeper to see how applying machine learning can unlock capacity, improve quality…


Looking for more industry insights?

Our Chief Technologist, Tom Schwieters, has a lifetime of experience in industrial automation and advanced manufacturing and is working at the forefront of Industry 4.0 and IoT technology. Book Tom to speak at your next event, or to inspire your team about new and current industry trends.

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