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“In the summer of 1969, the Minnesota Department of Transportation tried a two-week experiment to alleviate congestion on Interstate 35E near downtown St. Paul. The agency put traffic signals on ramps…leading to southbound I-35E to see if putting space between vehicles getting onto the freeway would improve traffic flow.” The experiment worked, became permanent in

Although obsessed with the idea of human flight, Leonardo da Vinci — whose understanding of aerodynamics was centuries ahead of its time — got only as far as the technology of his day could take him. Right Place. Wrong Time. His ornithopter was so close. Da Vinci had sussed out the principle of lift, but

The United States was born in 1776 — and so were corner cases. When Adam Smith introduced his “pin factory” example, he wasn’t attempting to develop a formal business process (or have it go viral); he was attempting to illustrate the enormous increase in productivity and prosperity that would result from the division of labor.

By now, you probably have a favorite AI search engine (also known as an AI answer engine), plus a backup for when it has a hallucination; and if you’re like 90% of your coworkers, you regularly use your favorite LLM at work.

Agentic AI was supposed to be the natural evolution of generative AI. A tool that could “make decisions” with holistic and relevant contextual knowledge, plan and articulate independently, learn and adapt over time, pursue goals autonomously, and take action by converting its planning outputs into actionable execution.

“ERP transformation through AI augmentation” is a mouthful, but every word is a building block that explains what happens when an enterprise resource planning system is transformed with a network of AI modules rather than refactoring, rearchitecting, or rebuilding it.