In this quick overview of the types of Digital Twins used in manufacturing, you’ll learn the pros and cons of each type as well as how to choose the right one for your goals.
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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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IIoT Platforms and self-service analytics applications make it easier to anticipate and reduce unplanned downtime. Learn how in this white paper.
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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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As Industry 4.0, digital transformation, and smart technologies continue to re-shape the manufacturing landscape, data is key to staying competitive. Learn more about the various data management tools, how they’re used in the manufacturing landscape, and what they bring value they bring.
How do IT and OT leaders make their work easier, faster, and more effective? Braincube CEO and Co-founder, Laurent Laporte, discusses how IIoT enables them to achieve their joint business objectives.
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A Digital Twin of your manufacturing process, called process Digital Twin, can help identify process optimizations, reduce costs and waste, and improve quality and sustainability.
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A global tire company implemented Braincube to minimize waste, save money, and improve quality. They achieved their objective in just a few months and minimized waste by 35% within their target process, resulting in $1 million in savings per year. This was only the start of their IIoT success.
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