Ground your understanding of Digital Twins through real manufacturing use cases and customer stories featuring top manufacturers globally. Learn why top manufacturers are investing in Digital Twins for operational excellence.
Digital Twins help manufacturing companies break through data fatigue and turn data into their competitive advantage. But what exactly are manufacturing Digital Twins? How are they built? And better yet, how are they used?
Ground your understanding of Digital Twins through real manufacturing use cases and customer stories featuring top manufacturers globally.
In this three-part on-demand webinar series, you will receive weekly recordings covering the top topics on Digital Twins in manufacturing. Each webinar will build upon each other to provide a holistic view of the value of Digital Twins and how to get started. These 20-minute pre-recorded episodes will be released weekly starting October 4th.
A Digital Twin in manufacturing is used to uncover root cause, identify and prevent defects, optimize processes, evolve predictive maintenance strategies, and more. Better understand the value of Digital Twins and how to get started.
Braincube is a Smart IIoT platform offering Digital Twins and an advanced app suite that helps manufacturers become more efficient. Our user-friendly apps are powered by continuously contextualized Digital Twins for products, processes, or assets. With Braincube, you put the right information in the hands of your team to optimize processes, reduce risk, and increase margins.
“With Braincube, we have all process parameters included in our Digital Twin, including the machine parameters which will enable initiatives like predictive maintenance. That’s what sets Braincube’s Digital Twin approach apart from others: it’s all- encompassing.”
“We uncovered at least $500,000 in savings each year and we continue to move forward with new discoveries.”
“The possibility of having a Digital Twin empowers you to do several scenario simulations, explore the possible impacts, and then choose the best alternative—without adversely affecting the production process.”
“I can say firsthand that, in just a few weeks, my understanding [of the process] had quickly accelerated.”