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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The challenges facing steelmakers today are complex and varied. Steelmakers can use Industrial IoT (IIoT) tools to adapt to changing global, environmental and national conditions – both today and in the future. Learn more in this exclusive white paper.
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Accelerate your transformation and continuous improvement efforts. Leverage real-time and big data analytics applications from the cloud with Braincube’s Smart IIoT Platform.
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A Digital Twin of your manufacturing data turns historical data into a contextualized resource to improve process, find new revenue streams, and increase operating profits. Access resources on AI and manufacturing, how a Digital Twin can improve industrial operations, and customer use cases.
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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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Most pharmaceutical companies have access to data but lack connectivity. Utilizing an IIoT Platform can help these companies optimize processes, improve quality across multiple manufacturing sites, and implement a global Pharma 4.0 plan.
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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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Continue your journey toward true digital transformation. Receive weekly customized resources on Industry 4.0. Start with a Digital Maturity Assessment.
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Une plateforme IIoT est un outil puissant utilisé pour centraliser, visualiser et analyser les processus industriels à l’aide de données agrégées.
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