Predict the Impossible: How Predictive AI Boosts Enterprise Productivity
Session Overview
If generative AI is a tool for creating answers, predictive AI is a technology for changing decisions. Enterprise productivity does not come simply from working faster. It depends on knowing when to act.
Predictive AI detects changes in demand, pricing, and risk before they fully unfold, allowing organizations to move earlier and respond with greater precision. This session explores practical strategies for using predictive AI to shift enterprise operations from reactive responses to proactive decision-making.
Participants will learn how predictive AI advances the timing of organizational action, improves the quality of business decisions, and creates a measurable difference in productivity. The session will also highlight how companies can build more forward-looking operating models by anticipating change rather than responding after the fact.
Speaker
Doohee Chung is the CEO of Impactive AI and an Associate Professor in the School of AI Convergence at Handong Global University, where he actively contributes to AI research and education. He earned his Ph.D. in Technology Management from Seoul National University and spent a decade at the Samsung Economic Research Institute (SERI) and SERICEO. Bridging academia and industry, he has served as Editor-in-Chief of MIT Technology Review Korea and as an AI Advisory Professor for LG Group. His work focuses on helping organizations harness emerging technologies to drive innovation and business transformation.