newspaper The Journal
Emerging standards for lean in technology and AI, from the companies and coaches testing the way forward.
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A forward deployed engineer is dropped into your domain. A forward developed one is built out of it. This is the final part of a series1 on the forward deployed engineer. Part 1 followed the money into the role and ...
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The choice between renting expertise and building it is a century-old decision, and both experiments have run at scale. Only one of them compounded.
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Everyone is hiring for a skill set that barely exists. The capability you need is already on your payroll. This first article of a three-part series[1] examines the role of forward deployed engineers (how they work and ...
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The PDCA loop that every lean person already knows also applies to working with a large language model (LLM), but with Prompt replacing Plan. The model does the Do. Check and Act stay mainly with you. Our previous ...
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Gene Kim, DevOps leader and co-author of Wiring the Winning Organization, joins Tyson Heaton, LEI Executive Director of LeanTech/AI, and Art Smalley, Toyota veteran and LEI advisor, for a lively, enlightening, and ...
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Leadership Negligence, Not Technology Failure, Sets the Stage for AI's Most Expensive Correction In 1987, Nobel laureate Robert Solow made an observation that still echoes: "You can see the computer age everywhere but ...
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There is a moment in lean transformation work that almost every practitioner has experienced. You have made real progress on the floor, in the office, or in the clinic. Flow is improving. Waste is visible. People are ...
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AI isn't just disrupting work — it's exposing the organizational immune system. Tyson Heaton reveals who's blocking progress and who's quietly building it.
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We arrived at Viwinco with the confidence that experienced lean coaches usually bring. The problem looked straightforward: they were laminating two pieces of glass with a polyvinyl butyral (PVB) interlayer, and they ...
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About a year and a half ago at O.C. Tanner, I was doing a shop-floor visit when a night shift team leader showed me something that changed how I think about AI and manufacturing. He'd taught his iPhone to spot defects ...
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A recent LinkedIn post stopped me in my tracks: “The irony of chasing 10–15% productivity gains through AI when teams are burning 50–80% of their capacity on low-value work and/or multi-tasking is ripe.” AI’s potential ...
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