Bill Schmarzo is a data science and AI strategist, keynote speaker, and author of seven books, including his most recent, The AI-Human Edge: Winning with Intelligence Technologies—On the Field and Beyond. Known as the “Dean of Big Data,” Bill has over four decades of experience helping organizations harness data, analytics, and AI to drive economic value and competitive advantage. He is an Assistant Professor of Practice at Iowa State University and an AI Research Fellow at Coe College, where he teaches advanced analytics and decision-centric AI frameworks. | | Bill is the creator of the Thinking Like a Data Scientist (TLADS) methodology and the Entity Propensity Model (EPM) framework, which focus on accelerating learning and improving decision-making through intelligent systems. His work centers on how AI amplifies human expertise, strengthens judgment, and compounds professional mastery—making him uniquely positioned to explore how organizations can build adaptive, learning-driven advantage in the age of intelligent systems.

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## Speaker: Bill Schmarzo
**Founder** at **Dean of Big Data, LLC** — Ames, IA
**Conference:** CIRAS AI Summit for Iowa — May 6, 2026

### Bio

Bill Schmarzo is a data science and AI strategist, keynote speaker, and author of seven books, including his most recent, The AI-Human Edge: Winning with Intelligence Technologies—On the Field and Beyond. Known as the “Dean of Big Data,” Bill has over four decades of experience helping organizations harness data, analytics, and AI to drive economic value and competitive advantage. He is an Assistant Professor of Practice at Iowa State University and an AI Research Fellow at Coe College, where he teaches advanced analytics and decision-centric AI frameworks. | | Bill is the creator of the Thinking Like a Data Scientist (TLADS) methodology and the Entity Propensity Model (EPM) framework, which focus on accelerating learning and improving decision-making through intelligent systems. His work centers on how AI amplifies human expertise, strengthens judgment, and compounds professional mastery—making him uniquely positioned to explore how organizations can build adaptive, learning-driven advantage in the age of intelligent systems.

### Sessions at this conference

- **The AI-Human Edge: Accelerating Human Mastery in the Age of Intelligent Systems** [Business Systems and Data] (10:20 AM–11:05 AM)

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