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.
Read more
Continuous improvement requires the perfect formula. By identifying patterns and future possibilities, Braincube gives you the edge to beat out your competition.
Watch Video
Understand the key differences between AI, machine learning, and data science for manufacturing. Plus, learn how they work together with a real use case.
Learn more
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.
See the Ripple Effect
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.
Learn more
Change management during digital transformation is a difficult, but not impossible, endeavor. Learn how to improve your change management efforts with this white paper.
Learn more
Scaling your IIoT platform will likely come with hurdles. Here’s some recommended considerations for scaling your IIoT platform successfully.
Learn more
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.
Download Now
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.
Discover
While there are plenty of examples of “best practices” for your IIoT implementation, these five less-obvious approaches may be the key to helping your implementation go smoothly.
Learn more
Dive deep into your processes to uncover hidden improvement opportunities. Detect patterns, prevent downtime, and reduce costs.
