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Praemo EVP: Insight Right Under Our Noses

A whole new layer of insight can be harvested inside factories with the data you already have, today. Companies are sometimes holding back from leveraging sensors and tools like AI and deep data analysis that would allow for it because of cultural gaps between, for example, IT and OT. Ownership issues can also be a problem if some are, say, building devices vs operating devices. Paul Boris, EVP at Praemo fights against using red herrings like security concerns inside the same factory to continue down the same old paths that limit performance. He understands how seductive risk avoidance can be. And he speaks frankly about this and other issues with Brett Brune, editor in chief of Smart Manufacturing magazine.

AutoML 2.0: Making AI in manufacturing simple

Managing sensor performance has become a must-have for manufacturers. The advent and rapid adoption of IoT technology, enabling smart manufacturing systems, has created a two-fold scenario. Intelligent systems at once provide for near-real-time systems monitoring and create a new prediction problem.

For older workers, wearables are where it's at

When the ergonomics team at General Motors decided to field test wearables to augment their plant workers’ physical abilities, they partnered with body mechanics experts who collect data in a scientific way—and talked with users.