In this episode of Great Question: A Manufacturing Podcast, Scott Achelpohl is joined by Nick Hasselbeck and Matt Martin of E Tech Group to discuss the challenges legacy OT systems create for digital transformation and AI adoption. The conversation explores why siloed data, limited network visibility, and outdated equipment remain major obstacles for manufacturers. They also examine practical strategies for connecting older assets, evaluating the value of stranded data, and balancing equipment replacement with lower-cost modernization approaches. The episode offers a grounded look at how manufacturers can build a stronger data foundation for AI and other advanced operational initiatives.

Employers have an obligation to protect workers from all jobsite hazards, including the summer heat and humidity. In this episode of Great Question: A Manufacturing Podcast, learn the current regulations, signs of heat stress and what you can do to help workers be comfortable—and safe—this summer from Corey Stringer Institute’s Maggie Morrissey.

Computed tomography (CT) has a parallel life beyond its service in diagnostic medicine. From aerospace and automotive to defense and electronics, it’s one of manufacturing's most powerful quality assurance technologies.

By creating detailed three-dimensional views of both external and internal part features without destructive testing, CT allows manufacturers to detect defects, verify dimensions, and improve product performance. Now, artificial intelligence and machine learning are accelerating those capabilities even further, making inspections faster, more accurate, and increasingly practical for production environments.

In this episode of the Great Question Podcast, Hexagon Manufacturing Intelligence Technical Sales Engineer Roger Wende details how AI-enhanced CT scanning is reshaping non-destructive testing, metrology, defect analysis, and the future of digital manufacturing.