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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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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Implementing Braincube helped Safran achieve optimal and consistent quality on their production lines. Read their story to learn how.
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Arjowiggins has used Braincube’s solution for 15+ years to improve problem resolution for SMEs and autonomous equipment efficiencies.
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Spending hours finding new optimizations, combing through a busy market of vendors, or relying on spur-of-the-moment decision-making is not an ideal path to success. Here’s how IIoT helps packaging manufacturers address four common challenges to stay competitive and find continued success in this aggressive market.
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Steelmaking is a long process in terms of time and number of steps. Here, we present some of the top reasons steelmakers consider using Digital Twins as part of their digital transformation strategy.
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Schneider Electric partnered with Braincube to create a smart factory using IoT and AI to develop an optimization view to improve production line efficiency.
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Take our digital maturity assessment to understand your level of connectivity and aptitude for Industry 4.0. After taking the quiz, we will share actionable insights to help you move forward—no matter where you are on your transformation journey.
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Uncover everything there is to know about Machine Learning and AI for manufacturing, including advantages, challenges, and use cases. Read more in our comprehensive guide.
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Understand the key differences between AI, machine learning, and data science for manufacturing. Plus, learn how they work together with a real use case.
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Dive deep into your processes to uncover hidden improvement opportunities. Detect patterns, prevent downtime, and reduce costs.
