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.
Youngok Kim serves as Chief AI Officer (CAIO) at HD Hyundai, where she oversees the company’s enterprise-wide artificial intelligence initiatives. She also serves as a private-sector member of Korea’s National AI Strategy Committee.
A manufacturing AI specialist, she has led the application of AI and field-driven AX (AI Transformation) across major industrial organizations, including HD Hyundai and Hyundai Motor Company. As a certified Professional Engineer in Information Management, she is currently developing an Artificial Specific Intelligence (ASI) strategy tailored to the needs of the manufacturing sector.
Jonghwan Kim leads the technology organization for Lotte Shopping’s e-commerce division, overseeing the technology strategy and operations of major commerce platforms, including Lotte ON.
His responsibilities span software development, cloud infrastructure, system architecture, databases, SRE, and DevOps. He also drives cloud optimization, FinOps, and enterprise IT strategy.
Beyond ensuring stable and efficient platform operations, he is focused on advancing cloud-native transformation and retail technology so that technology can make a measurable contribution to both customer experience and organizational productivity.
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.