Category: Industry 4.0

Edge applications are on the rise within the IIoT space, with more and more manufacturers finding value closer to where data is generated. Here are three pivotal Edge applications being used by manufacturers today.

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Edge computing is continuing to expand as the adoption of IoT-connected devices grows. Learn how hyper-automation and strategic alliances are changing manufacturing.

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The growth in IoT-connected devices is making way for improvements in Edge analytics. Here are the trends shaping Edge analytics in manufacturing.

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Consistent taste and the utmost quality are essential to spirit manufacturers, master distillers, and their loyal customers. Here are some of the key opportunities that IIoT provides to beverage manufacturing teams.

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Edge analytics is a vital component of manufacturing’s 4.0 landscape with many viable, unique use cases. Explore key Edge analytics examples within the manufacturing ecosystem by looking at use cases in CPG, Paper and Packaging, and Beverage production.

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A strong data culture is critical to a successful transformation—even before 4.0 tools enter the scene. Here are five ways you can bolster the data culture at your organization.

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Autonomous technologies put data in your employees’ hands that they can use to work faster, more effectively, and with greater impact. Learn more about the autonomous technologies transforming the manufacturing landscape today, including Machine Learning, Artificial Intelligence, and more.

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Edge analytics is the process of adding intelligence—such as visualization or alerting—to Edge data. Get answers to your top questions about Edge analytics in this introductory article, including how it works and the value it brings your organization.

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Still planning your digital transformation? Here are three critical gaps to address that prepare your teams for Industry 4.0, boost your project’s success rate, and require no outside resources.

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Predictive maintenance technology is helping manufacturers reduce unplanned and unnecessary downtime to improve their bottom line. Learn what technologies to use and how to implement a predictive maintenance strategy in this white paper.

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