Keynote - The Intelligent Factory: Why Manufacturing Needs a New Operating Model

In this keynote at ProveIT! 2026, Jeff Winter explores the shift toward intelligent factories and what it truly takes to operationalize AI in manufacturing. As industrial data continues to grow exponentially, most organizations still struggle with “dark data” and costly decision latency, leaving millions of dollars on the table. This session challenges the idea that AI is something you simply buy. Instead, Jeff shows that becoming an intelligent factory requires fundamentally rethinking how your organization represents reality, makes decisions, and continuously learns.

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Top 5 Takeaways:

1. The real constraint isn’t data. It’s decision latency
   Most companies can detect and analyze issues, but slow down when it comes to agreeing and acting. The advantage goes to those who compress the full cycle from signal to decision to execution.

2. Manufacturing isn’t data-poor. It’s insight-poor
   Massive volumes of data exist across machines and systems, but much of it lacks structure, context, and usability. The opportunity is turning raw data into something decisions can actually be built on.

3. We are moving from digital transformation to intelligence transformation
   Digital transformation digitized workflows and improved visibility. The next phase embeds intelligence directly into operations, shifting from informing decisions to increasingly making and executing them.

4. AI is not binary. It is a spectrum
   Organizations are not simply “using AI” or “not using AI.” They are operating across levels, from basic analytics to prediction to generation to autonomous action. Progress comes from intentionally moving up that spectrum, not chasing a single end state.

5. Anchor it. Authorize it. Adapt it
   Transformation only sticks when it is grounded in real operational data (anchor), paired with clear decision ownership and trust (authorize), and continuously improved through feedback and learning (adapt). Miss one, and progress stalls.

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References:

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• Claim: About 54% of factories still rely on manual methods such as paper or spreadsheets.
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