Transformation World 2026 · Data Science
Dr. Sebastian Wernicke, author of “Data Inspired,” wants leaders to stop treating data as a calculator and start treating it as a source of insight. He distinguishes between organizations that are “data-driven” — squeezing out incremental 1% optimizations — and those that are “data-inspired,” using data to challenge assumptions and reshape strategy. The difference, he argues, is a culture of inquiry: the willingness to build decision architectures like Netflix and Amazon, where data actively informs how choices get made rather than simply confirming what leaders already believe.
“The Monday-morning question every leader should ask: what do we believe is true, where the data might show us we’re wrong?”
Wernicke’s perspective is grounded in high-stakes work — from vaccine manufacturing to a national genome project — where data decisions carried real consequences. His central message is that the biggest barrier to AI adoption is not technology but culture. Tools are ready; organizations often aren’t, because they lack the courage to let data overturn a comfortable belief. For enterprises betting on AI, he offers a provocative reframing: “data has a soul,” and the companies that thrive will be the ones brave enough to listen to it.
About the Guest
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Dr. Sebastian WernickeData Scientist & Author of “Data Inspired” Dr. Sebastian Wernicke is a data scientist, keynote speaker, and best-selling author of “Data Inspired.” A widely watched TED speaker on data and decision-making, he advises organizations on how to move beyond incremental, data-driven optimization toward a data-inspired culture of inquiry. His perspective is grounded in high-stakes analytical work spanning fields from vaccine manufacturing to a national genome project, giving him a distinctive view on why culture — not technology — is the real barrier to getting value from AI. |
