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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.

Tackling Downtime and Inefficiencies with Software

Turning to software over paper reports does more than just save trees. Chris Mahar, Associate Editor of Manufacturing Engineering, talks with David McPhail, President and CEO of Memex Inc., about how manufacturers can utilize technology to improve efficiency, reduce downtime and boost productivity and profits across their business.

CNC Turning Technology Targets Its Many Facets

Uncover the latest innovations reshaping CNC turning and precision manufacturing. Delve into advanced tooling solutions, strategies for automation, trochoidal turning methods, and the seamless fusion of milling and turning processes through CNC control technology. These advancements are designed to enhance productivity and efficiency in machining operations.

Flexibility and Thorough Support for Good Measure

Discover how Driven Precision Engineering, a small business specializing in precision machining for Formula One teams, found a tailored solution with LK Metrology's CMM technology, revolutionizing their quality control processes for high-speed racing components.

Machine Learning for Machine Tools

Explore the intersection of artificial intelligence (AI) and manufacturing, from generative design to AI-controlled production, process optimization, and predictive maintenance, highlighting the revolutionary potential and challenges of integrating AI into various manufacturing processes.