The Hidden Bottleneck in Enterprise AI: Data Quality, Governance, and Reality — AI Summit Seoul & Expo 2026

The Hidden Bottleneck in Enterprise AI: Data Quality, Governance, and Reality

Session Overview

Full session abstract to be added.

Speakers

Yoonhee Hwang
Yoonhee Hwang
Executive Director, Customer Data Platform
LG Electronics
Customer Data Platform Enterprise AI Data Governance

Speaker information will be announced soon.

Yongmin Choi
Yongmin Choi
Head of AI Strategy Center
Woori Financial Group
AI Strategy Financial AI AI Transformation

Yongmin Choi leads the AI Strategy Center at Woori Financial Group, overseeing the group's enterprise-wide AI strategy and AI-native transformation. He has more than 15 years of experience in AI and data within the financial industry. Before joining Woori Financial Group in 2025, he served as Head of the AI Solutions Division at Mirae Asset Global Investments, where he led the development of AI-powered investment models and the data architecture supporting them. He currently focuses not only on building AI governance frameworks and platforms, but also on redesigning business processes and decision-making structures around AI and transforming the organization into one where employees use AI as part of their everyday work.

Seunghwan Lee
Seunghwan Lee
Vice President, AX Node Leader
Samil PwC
AI Governance Enterprise AI Data Strategy

Seunghwan Lee, Vice President and AX Node Leader at Samil PwC, leads enterprise Digital/AI transformation drawing on his background in accounting audit and consulting. He oversees enterprise-wide AI strategy development, AI governance and adoption roadmap design, and the planning and build-out of Enterprise AI services. By connecting deep financial accounting domain expertise with generative AI and automation technology, he has led the planning and commercialization of practical, field-ready AI solutions — delivering custom AI services, data ontology, RAG, and Multi-Agent-based Enterprise AI platform projects for major enterprises. He also launched ARIX (AI Readiness Index), a service that diagnoses an organization's AI adoption readiness, helping companies use AI not just as a tool but as decision-making infrastructure.