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Designing new aerospace engines is challenging, but Rolls-Royce Germany turned to data analytics and AI to meet these challenges. The results? Reduced costs and shortened lead times.

At a Tier 1 automotive manufacturer in Mexico, it quickly became clear that AI in the factory was a fantastic solution to help human workers achieve greater levels of success; a human plus machine scenario where AI enhances the capabilities of, rather than replaces, human workers.

Good science does not equate to workable manufacturing. This has been a longstanding truth in tissue engineering, a field that has been in limbo between academic R&D and commercialization for its entire decades-long existence.

In today’s ultra-connected and camera-covered smart factories, the amount of visual data generated and transferred taxes even the most powerful computer and network systems.

AI’s learning ability is moving to the compute edge. And manufacturers will be a major beneficiary. I realized the usefulness of being able to run AI on small computer processing power while working with NASA in 2010.

Profound changes in the manufacturing landscape are now being driven by current health concerns and their influence on how plant and factory workers do their jobs.

Thanks in part to its pro-business policies, strong workforce, and trade infrastructure, Florida ranks among the nation’s top 10 states for manufacturing.

Imagine you wrote a masterpiece of literary fiction or a detailed plan for financial success. You can’t wait to share your work with the world. But there’s a problem. In this universe, in this reality, computers have no way to share documents with each other.

The experience an Italian electronics manufacturer had with emerging tools provides a glimpse of a better world.

Meeting the urgent need for a National Smart Manufacturing Executive Council