Resources
Everything you need for Industry 4.0. Use this resource library to help you accelerate your digital transformation goals.
Everything you need for Industry 4.0. Use this resource library to help you accelerate your digital transformation goals.
Still planning your digital transformation? Here are three critical gaps to address that prepare your teams for Industry 4.0, boost your project’s success rate, and require no outside resources.
Learn moreWhat type of maintenance strategy and technology is most effective in today’s manufacturing landscape: preventative or predictive? This primer article can help you make the right choice for your company.
Learn moreAs Industry 4.0, digital transformation, and smart technologies continue to re-shape the manufacturing landscape, data is key to staying competitive. Learn more about the various data management tools, how they’re used in the manufacturing landscape, and what they bring value they bring.
Using Braincube’s Smart IIoT platform, Digital Twins, and Business Intelligence Applications, ofi’s teams quickly uncovered key findings that resulted in a wide array of wins ranging from a perfect quality score to improved customer satisfaction.
Read moreSappi, a leader in paper manufacturing, combined software and expertise to scale its Industry 4.0 strategy from a pilot to a global rollout.
Read the case studyRead this short case study to see how Oji Paper used IIoT tools—including Braincube’s Advanced Apps and Digital Twin—to break through long-lasting challenges and find new success.
Learn moreTake 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.
Take QuizLearn how a Digital Twin is implemented and leveraged in manufacturing. Our interactive model walks through what is a Digital Twin, why is lag time critical, and a Braincube customer use case.
Learn moreIIoT technology is helping the world’s top packaging manufacturers optimize OEE, meet quality standards, reduce unplanned downtime, and achieve cost savings. Learn how to leverage these tools to improve.
Watch nowComputer vision AI is no longer just buzz. It is being leveraged by manufacturers globally to automate and scale quality processes to decrease defects and improve customer satisfaction.
Watch nowHow do IT and OT leaders make their work easier, faster, and more effective? Braincube CEO and Co-founder, Laurent Laporte, discusses how IIoT enables them to achieve their joint business objectives.
Listen nowIncorporate real-time and forecasted weather data to predict and prescribe operating conditions. This feature improves production analysis and provides actionable recommendations adapted to your live production conditions. Learn more about Braincube’s weather feature.
Learn moreA large paper products manufacturer came to Braincube with the hopes of reducing their steam consumption. Learn how this CPG company reduced their steam consumption and total production costs through IIoT. Download the infographic.
Download nowBraincube’s Factory Suite gives you the possibility to quickly monitor, troubleshoot, and leverage live production data to drive progress forward. Learn more about our top Edge Apps.
Learn moreAutonomous technologies put data in your employees’ hands that they can use to work faster, more effectively, and with greater impact. Learn more about the autonomous technologies transforming the manufacturing landscape today, including Machine Learning, Artificial Intelligence, and more.
Learn moreIn Gartner’s latest research, “Follow Oil and Gas Digitalization Best Practices to Drive Digital Value at Scale,” we believe oil and gas CIOs and technology leaders can accelerate time-to-value for 4.0 technologies and set teams up for success.
Read morePredictive maintenance technology is helping manufacturers reduce unplanned and unnecessary downtime to improve their bottom line. Learn what technologies to use and how to implement a predictive maintenance strategy in this white paper.
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