Every industry has blind spots. Sometimes the problem is not a lack of expertise, or even information, but of connection.

Manufacturers are exploring artificial intelligence, but most are still struggling to scale it across operations.

Walk into almost any factory, hospital, office, or warehouse, and you’ll likely encounter tier boards with a familiar set of colors: green, yellow, and red. Green means good. Red means bad. And yellow? Well, it has… some issues.

Speaking with experts who love their jobs usually makes you aware of two things simultaneously: 1) how much you don’t know, and 2) how much you’d like to know. My conversations with Prashant Darisi and Vick Vaishnavi were no exception.

The next advantage in business will come from leaders who can manage machine labor as deliberately as they manage people. Professor Ethan Mollick at Wharton fram

Every boardroom has heard it. Every procurement checklist includes it. Every investor deck now features it somewhere between the mission statement and the revenue model. “AI ethics” has become the term that signals seriousness without necessarily delivering it.

Aerospace qualification standards continue to shift as component designs grow more intricate and real-world forces become better understood.

Two years ago, the dominant conversation around AI in enterprise software was about pilots.

Manufacturers have spent millions investing in safer equipment, smarter automation, and increasingly sophisticated operational technology.

(DEEPX: Seoul, South Korea) -- DEEPX, an on-device AI semiconductor pioneer, announces its ultralow-power NPU technology now powers the Sixfab AI HAT+ for Raspberry Pi 5, a new edge AI acceleration board developed by Sixfab, an edge A