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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.

AI already helps individual factories improve production, safety, efficiency and other metrics while lowering costs. Marrying AI and cloud technology can supercharge those benefits.

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.

Blended learning relies on a combination of in-person classes, self-learning and interactive online tools.

Two manufacturers described establishing data-management systems to attendees of Dassault Systèmes’ virtual 3DExperience World in February.

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.

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