What if a single technology could turn the tides of an entire industry, boosting profits by double digits in a matter of months? In the fast-evolving world of manufacturing, artificial intelligence (AI) is doing just that, reshaping how factories operate and redefining the bottom line. Across
Imagine a healthcare system where financial operations run like a well-oiled machine, with claims processed in hours instead of days, errors nearly eliminated, and patients receiving clear, accurate billing without frustration. This isn’t a distant dream—it’s the reality being forged by intelligent
When a single prompt can trigger chains of reasoning, tool calls, and multi-modal outputs that ripple through customer experiences and compliance obligations, the hard part of AI no longer lives in model training but in proving that the whole agent behaves correctly under pressure and at scale.
Why AI agents keep forgetting—and why it’s a business problem Long-running agents still behave like short-term guests: they arrive with a clean slate, work within a finite context window, and forget the conversation as soon as the session ends unless someone leaves breadcrumbs long enough to
Hospitalsfaceastarkrealityinmedicalimagingwherelabeleddataarescarceanddomainsdivergewildlyacrosscenters. Across scanners, protocols, and patient cohorts, the visual look of the same anatomy can shift just enough to trip up segmentation systems trained under tidy lab assumptions. A new training
A sharper way to ask the hard question What if the leap in robot reliability came not from ever-larger models but from a smarter split between thinking and doing that keeps language plans on a short leash and loops real-world feedback back into every choice the machine makes? The premise is blunt:
