This session tackles a persistent challenge in creative industries: why do artists often see data as the enemy of creativity, and how can we change that perception? Drawing from hands-on experience, the presentation explores how organizations can transform data from a creative constraint into an inspiration catalyst. We'll dive into practical strategies for building data literacy among creative teams, showcase compelling examples of data storytelling in artistic contexts, and demonstrate how leading creative professionals are using analytics to amplify rather than stifle their artistic vision. Learn how successful organizations are bridging the gap between data teams and creatives, fostering a culture where intuition and analytics work in harmony to drive more impactful creative outcomes.
Michael is a globally recognized leader in AI and data-driven business transformation, known for developing AIOS, an intelligent marketing system at Plus that optimizes customer journey analysis and marketing ROI. A former NYU Stern marketing professor, his research spans predictive computation, marketing strategies, and consumer behavior. He has launched successful AI products focused on user safety, privacy, and marketing optimization. His work on explainable prediction and data synthesis, particularly with incomplete data, has been featured in major publications like LA Times and AdAge, and he frequently speaks at prestigious events including The Nantucket Project and ANA Masters of Marketing.