"As AI systems become more capable, more accessible, and more embedded in everyday workflows, creativity is emerging as one of the most important human skills in AI development and deployment. Not creativity as decoration or aesthetics, but creativity as problem framing, decision-making, and human judgment. In an era where many organizations are using the same models, tools, and platforms, creative thinking is what separates meaningful outcomes from generic ones."
"In a recent episode of the ODSC AI X Podcast, Kelli Quinn, Director of Product and Customer Success at the AI startup Veox, offered a perspective that cuts through much of today's AI hype. Drawing on a career that spans creative work, customer experience, and AI product development, Quinn argues that creativity is not peripheral to AI. It is central to how effective systems are built, used, and trusted."
Creativity has shifted from decorative to fundamental in AI development and deployment. As AI systems grow more capable, accessible, and embedded in workflows, creative skills in problem framing, decision-making, and human judgment become crucial. When organizations use similar models and platforms, creative thinking distinguishes meaningful outcomes from generic ones. Creativity and technical skill are deeply intertwined in tasks such as designing pipelines, building scalable data products, and defining user interactions. Creative reasoning appears in defining problems, navigating constraints, and evaluating tradeoffs. Data scientists, engineers, and product leaders all rely on creativity to choose signals, modularize systems, and prioritize use cases for automation.
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