Product: Cloud + Edge

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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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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From a sudden freeze on the economy to returning to limited or scaled production, AI has played an integral part in the world of manufacturing. There are different ways AI is leveraged in Industry.

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The smart factory is no longer a thing of the future. For many manufacturers, it is the reality now. The growth of augmented analytics and Machine Learning in manufacturing has made way for a new Data Scientist in the factory.

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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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Avril’s implementation of Braincube led to better sales and storage forecasts, the implementation of individualized dashboards for employees to track relevant KPIs, and the autonomy needed to make improvements in continuous based on changing business and economic needs.

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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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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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