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 The conversation explores why siloed data, limited network visibility, and outdated equipment remain major obstacles for manufacturers.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.

For IndustryWeek’s Smart Manufacturers video series, Senior Editor for Technology Dennis Scimeca visited four different plants to inquire about a specific technology deployment at each. He spoke 5G with John Deere, talked MES development with Hexagon Manufacturing Intelligence, discussed brownfield sites and corporate responsibility with battery manufacturer Viridi and dodged a fleet of robots on the shop floor of an LG plant. This week's podcast episode looks at the series as a whole, and shares key insights gleaned from each video.

NED Editor-in-Chief Laura Davis breaks down four machining and metalworking products from the latest issue, covering 3D laser cutting for job shops, solid carbide taps for high-volume threading, multi-operation precision grinding, and high-pressure coolant toolholding for difficult-to-machine materials.

Laser Next Core 3D Laser Cutting Machine

TC180 Supreme & TC280 Supreme Solid Carbide Taps

Landis TTG 3000 Twin-Turret Grinder

Jetstream Tooling M-Clamp Toolholder System

In this episode of Great Question: A Manufacturing Podcast, Thomas Wilk speaks with Tito Warren of Red Wing about the challenges industrial facilities face in protecting workers from heat stress during the summer months. Their conversation explores the role of hydration, environmental controls, PPE, and emerging wearable technologies in supporting worker health and safety. They also discuss how footwear affects fatigue, endurance, and overall physical performance, while highlighting the importance of training, teamwork, and proactive safety cultures. The episode offers practical insights for manufacturers seeking to improve worker well-being and operational performance in demanding environments.

In this special National Forklift Safety Day podcast, hear what OSHA's David Keeling and Logisnext Americas' Carl Modesette have to say about the need for situational awareness from everybody who comes near a forklift, not just the operators. And ENEROC USA's Max Khabur explains why standardized forklift battery testing is essential for safety.

In this episode of Great Question: A Manufacturing Podcast, sponsored by Hydro Inc., Thomas Wilk speaks with Ares Panagoulias and Robert McCowan about building effective condition monitoring programs that reduce maintenance firefighting and improve asset reliability. The discussion explores the foundational steps organizations should take before deploying sensors, including defining goals, assigning responsibilities, and focusing on critical assets. They also examine the role of AI and machine learning in condition monitoring, and finish with practical advice on managing alerts, driving action from insights, and maximizing ROI from predictive maintenance investments.

This episode is sponsored by Hydro, Inc.