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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Product: Cloud
Key Differences Between AI, Machine Learning, and Data Science
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 Named a 2020 'Top Tech Tomorrow' Company by KPMG France
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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Braincube Customer Spotlight: Owens Corning
Owens Corning needed a solution that enabled their engineers to instantly analyze and visualize data generated by the production line to identify and resolve a product variability. Learn how Braincube’s Digital Twin helped them uncover an unexpected root cause to their challenge.
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Key Considerations for Scaling Your IIoT Platform
Scaling your IIoT platform will likely come with hurdles. Here’s some recommended considerations for scaling your IIoT platform successfully.
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Unexpected Use of AI During COVID-19
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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4 Ways to Use Machine Learning in Manufacturing
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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Cloud vs Edge--Better together?
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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Leverage the power of digital twins
Avril’s implementation of Braincube led to better sales and storage predictions, individualized dashboards for employees to track relevant KPIs, and the autonomy to make continuous improvements based on changing business and economic needs.
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7 Steps to Make a Case for Industry 4.0
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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