Braincube is an IIoT platform suite with business and expert apps designed for industry.
Owens Corning was experiencing frequent, but inconsistent, jams on their roofing shingle production line. The team had trouble predicting the jams and wanted better access to real-time process data. Braincube structured the data and built a digital twin. The implemented changes resulted in a 165% return on investment (ROI) in only 6 months.
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Presenting a new tool or procedure to your management team often results in resistance, ranging from lack of funds to an unclear return on investment (ROI).
Here are some helpful tips for building a convincing case for your executive team to bring an IIoT digital transformation tool to your business strategy.
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Before you begin an IIoT pilot program, learn more about the different solutions provided by different types of IIoT vendors. Selecting an IIoT solution that aligns with your business goals is crucial for digital transformation success.
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Learn more about how Braincube helps manufactures take control of their data and transform their operations. Take your siloed data and turn it into clean, actionable information.
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In this free, guide, you’ll learn: what questions to ask before implementing an Industry 4.0 initiative at your company; why Industry 4.0 is different than any previous industrial revolutions; and how to launch a successful digital transformation initiative at your company.
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In this episode, CEO and co-founder of Braincube, Laurent Laporte and Dan Faggella unpack the value of using AI in manufacturing. They discuss the steps to get to the right data to build the perfect data model, share how customers use that model, and unpack Big Data myths.
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Digital Twins are something we often hear about. With so much buzz around using DTs to find new revenue streams, to optimize, and improve, we’re going to share how Braincube can build DTs to accelerate your business goals.
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Download our free white paper and learn how Industry 4.0 grants employees creative autonomy and maximizes their potential, even in the wake of AI and robotic automation.
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Companies go to great lengths to protect their data. Now the time has come to protect ourselves from using data poorly or inaccurately. Without legitimacy, AI is a real danger.
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In this article, you’ll see some of the mistakes that organizations make when implementing their digitalization journey. Learn about the challenges manufacturers have transforming their data and what that means for the future of industry.
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