Category: AI / ML

IIoT technology is helping the world’s top packaging manufacturers optimize OEE, meet quality standards, reduce unplanned downtime, and achieve cost savings. Learn how to leverage these tools to improve.

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What type of maintenance strategy and technology is most effective in today’s manufacturing landscape: preventative or predictive? This primer article can help you make the right choice for your company.

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Learn how a variety of IIoT tools can help oil and gas manufacturers address their biggest challenges and achieve sustainable operational excellence.

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Computer vision AI is no longer just buzz. It is being leveraged by manufacturers globally to automate and scale quality processes to decrease defects and improve customer satisfaction.

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Advanced product traceability allows teams to reproduce Golden Batches, identify areas for improvement and ensure the smooth running of operations. Here are six challenges you can overcome with traceability.

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How do manufacturers make their work easier, faster, and more effective? By leveraging a manufacturing platform that continuously structures and contextualizes your data, and comes with ready-to-use apps and Digital Twins.

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Advanced technologies like the Industrial Internet of Things (IIoT) can immensely improve food quality control measures and outcomes. In this white paper, learn how IIoT can help food manufacturers optimize production processes to reduce costs and waste, all while meeting—or exceeding—quality standards.

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Oil and gas producers are uniquely primed to address their growing data analytics issues with Citizen Data Scientists. Learn more about the tools and technologies available for empowering all of your employees with advanced analytical capabilities.

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One of Braincube’s Food and Beverage customers wanted to use Industry 4.0 technologies to tackle their quality and consistency challenges. They were having issues with excess waste and wanted a way to reduce scrap, as this would help both their bottom line and their sustainability efforts.

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As technology experts, we see organizations grapple with whether to build or buy their business intelligence apps. There are four key success factors when deciding on whether to build or buy BI applications: cost, security, scalability, and data democracy. Learn about the pros and cons of each solution in these areas.

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