Two years ago, the dominant conversation around AI in enterprise software was about pilots. Every company of a certain size had at least one: a proof of concept running in a sandbox, a chatbot layered over a knowledge base, or a model fine-tuned on proprietary data that never quite made it to production.

That phase is ending. The organizations seeing measurable results from…

The U.S. Food and Drug Administration scrutiny of AI and machine learning in medical devices is intensifying. Yet most companies still apply failure mode and effects analysis (FMEA) methods designed for deterministic hardware failures. AI failures are probabilistic, context-dependent, and often silent. A model trained on one population drifts in deployment. An algorithm confident in a…

Manufacturers have spent millions investing in safer equipment, smarter automation, and increasingly sophisticated operational technology. Yet employee disengagement, one of the most significant risks to workplace safety and productivity, remains stubbornly difficult to address.

Gallup’s recent 2026 State of the Global Workplace report found that only 17% of frontline, nonremote…