Eric Thorsen

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Eric Thorsen is a strategy-focused communicator for industrial manufacturing who grounds abstract AI concepts in concrete business problems. He leads with data as the foundational requirement for AI success, consistently emphasizing master data management and data quality issues from M&A as practical prerequisites. His explanations are technical but accessible—he uses visual/spatial metaphors (shifting from 2D to 3D workflows, moving from forks and boxes to probabilistic logic) to make AI capabilities tangible. He favors a pragmatic, "hybrid layering" approach to enterprise transformation: agentic AI on top of legacy systems accelerates value without requiring complete rip-and-replace. He's direct about organizational impatience (executives, public, stakeholders won't tolerate lengthy implementations) and frames early AI adoption as a competitive necessity—those who move fast create exponential gaps competitors cannot close. Thorsen frequently pivots to workforce and talent concerns, arguing that modernization of tools and work processes is urgent for attracting digital-native workers who expect real-time interaction over traditional documentation. He illustrates points with observational anecdotes (his kids not using email, manufacturing engineers building PDFs, knowledge worker retirements) that feel grounded rather than rhetorical. His tone is conversational and collegial—he uses "we" and "our space" to position himself as embedded in the manufacturing community—and he sprinkles in memorable one-liners ("technology doesn't repeat, but it rhymes") that distill complex ideas into quotable positioning.