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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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Continuous improvement requires the perfect formula. By identifying patterns and future possibilities, Braincube gives you the edge to beat out your competition.
Watch VideoUnderstand 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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The Ripple Effect shows examples of the ways our customers have enabled more collaboration across departments in unexpected ways. From maintenance to process engineers and corporate management, see how Braincube helps teams to democratize and share data to find new optimizations to production lines.
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Braincube is proud to be named a 2020 ‘Top Tech Tomorrow’ company by KPMG France. Learn more about this award and what it means for our customers.
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Scaling your IIoT platform will likely come with hurdles. Here’s some recommended considerations for scaling your IIoT platform successfully.
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This free infographic “cheat sheet” introduces the five foundational pillars you’ll want to implement for a solid an Industry 4.0 strategy. Use these pillars to design a long-term digital transformation strategy that carries you through implementation and helps you maintain momentum.
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Continuing to find new ways to improve operations requires increased creativity, capacity, and access to critical data. Industrials use Machine Learning to identify opportunities to improve OEE at any phase of the manufacturing process.
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Often we are asked if industrials should start their digitalization efforts with a cloud or edge solution. While there’s no universal truth, this video dives into what to consider before building your Industry 4.0 roadmap.
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