Is LLM Really Helping Enterprise Productivity?
Session Overview
Companies are adopting LLMs and generative AI across a wide range of tasks — document drafting, information retrieval, customer service, software development, and decision support. But even as individual employees work faster, whether that translates into improved processes and performance across the organization as a whole is a separate question.
This session looks at what changes AI adoption is actually driving on the ground within companies, and discusses the conditions needed for it to translate into real productivity gains. It covers the practical challenges organizations face — automating repetitive work, supporting decision-making, collaboration between business and technical teams, and integrating data and systems.
The panel also examines the metrics and methods for evaluating AI's impact, the process of scaling pilot projects into company-wide transformation, and the challenge of redesigning roles between people and AI — mapping both the results and the limits of enterprise AI.
Speakers
Professor Zoonky Lee is a professor at Yonsei University's Graduate School of Information, where his research spans artificial intelligence, big data, and digital management.
He holds a bachelor's degree in Computer Science from Seoul National University, a master's degree in Social Psychology from Carnegie Mellon University, and a PhD in Business Administration from the University of Southern California. He has served as Dean and CIO of Yonsei University's Graduate School of Information, President of the Korea Big Data Society, and Chair of the National Public Data Strategy Committee.
He is the author of Managing with AI and Open Collaboration, and regularly lectures on AI and digital transformation to C-suite executives and leaders at major Korean companies.
Full bio to be added.
Full bio to be added.
Kyungjong Lee serves as Head of the Financial AI 2 Center at both KB Financial Group and KB Kookmin Bank, where he leads the development of the group's generative AI platform and AI-powered services for a wide range of financial operations.
He began his career at LG Electronics and, from 2011, spent many years researching and developing AI technologies at NCSOFT. He joined KB Financial Group in 2025.
Drawing on his extensive AI development experience across the gaming and IT industries, he is focused on applying AI to finance and advancing it beyond a standalone technology tool into a foundational capability that transforms how organizations work and how customers experience financial services.