Category: AI on the Floor
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CSV Might Be the Worst Format You’re Feeding Your AI
Same data, same questions, same model — only the format changed. CSV scored 44.3%; a markdown key-value format hit 60.7%. Structure is part of data integrity.
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Bad Data Doesn’t Cause AI to Stall — It Exposes the Real Problem
A recent survey of 100 manufacturing organizations found that 73% say data is where their AI efforts most commonly stall. A separate finding from the same report: companies that bought an AI platform before defining the business problem are more than 3x as likely to stall on unclear use cases.…
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The Real AI Adoption Gap Isn’t Adoption
If your bar for “transformational” is enterprise-wide reinvention, of course most initiatives fall short in year one. But if your bar is “did this remove a real bottleneck” — a changeover that used to eat two hours, a forecast that used to be a guess — a lot of that…
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Is Your AI Implementation Crashing at the “What?”
A recent industry analysis on AI in manufacturing draws a line worth sitting with: the shift from “analytical AI” — tools that generate insight, like a demand forecast or a failure prediction — to “operational AI,” insight that’s actually embedded in how decisions get made day to day. The piece…
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Power BI Was the Project. Learning to Collaborate With AI Was the Transformation.
I began with a production report and a desire for better insight. I ended with a deeper understanding of Power BI, AI collaboration, and the leadership discipline required to move from facts to decisions.
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“Now What?” — Insight Has No Operational Value Until It Influences a Decision
The purpose of operational analytics is not a better meeting or a more attractive dashboard. Its purpose is to improve the quality and speed of decisions.
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“So What?” — A Metric Becomes Valuable When It Changes Understanding
A dashboard can show that performance changed. Analysis begins when we ask whether the change matters, what conditions shaped it, and which patterns deserve attention.
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“What?” — Before We Seek Insight, We Need a Trustworthy Fact
Every dashboard begins with facts—but operational facts are rarely as simple as they appear. Before asking what the data means, leaders must establish whether it reflects the process accurately.
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I Had the Report. I Still Didn’t Have the Answer.
A daily production report told me what happened. It did not always help me understand why it happened or what we should do next. That gap led me to Power BI—and taught me an unexpected lesson about working with AI.
The Operations Bridge 