How America Can Manufacture Again

America can manufacture competitively again by designing production around its advantages and turning industrial capacity into abundant, programmable infrastructure.

When The Incident Ends, What Does Your AI Actually Know?

Two questions improve a review: “What else could explain the recovery?” and “What if the most experienced person had been unavailable?”

​Sharing The Burden Of Tokenomics

When organizations establish clear funding, clear ownership and clear success metrics, they can move beyond debating AI costs and start capturing AI value.

​Exuberance, Reluctance, Fear: How We Feel About AI And What That Means For Your Company

Can AI be creative, like a human being? What is the role of human creativity? If an artist uses AI, is the resulting work fully theirs?

Why Your AI Agents Need An Employee ID, Not Just An API Key

For every agent running in production, an organization should be able to answer five basic questions.

The Governance Gap That Will Define The AI Decade

The gap between planned regulation and enterprise governance is not just a compliance risk. It is becoming a board-level threat.

The Investigation Economy: AI Is Making Software Cheaper To Build And Harder To Explain

If you run technology for a company that’s about to ship a great deal more software than it used to, the instrumentation matters more than the strategy.

How AI Has Changed The Economics Of Bad Data

Every material data problem has two important moments.

How The iPhone Changed The Way We Looked At Smartphones

WWDC 2010 saw Steve Jobs launch a redesigned iPhone with a stunning screen upgrade. The iPhone 4 was the first Apple product to come with a high-density Retina Display.

For Revenue Cycle Management In The AI Era, Look To Healthcare’s Midcycle As A Proving Ground

Claims adjudication is complex in any industry, but nowhere are the requirements, data and consequences more significant than in healthcare.