Category: AI / ML

While most manufacturers know that they should aim to be more sustainable, they are looking for more information on how to track and measure their efforts. This white paper covers four digital tools that can be used to help manufacturers implement sustainable practices.

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Smurfit Kappa partners with Braincube for paper packaging solutions since 2018, achieving daily successes.

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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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Learn how Kimberly-Clark was able to implement closed-loop production processes by leveraging Braincube’s IIoT Platform and ready-to-use apps.

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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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For beverage manufacturers, quality can also be a fickle thing to maintain and perfect. Even if you’re collecting data, issues may still arise that you’re not sure how to fix. Luckily, today’s IIoT tools can help. Learn 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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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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