Essential Requirements for Financial AI & the Vision We Aim to Achieve
Session Overview
This session explains why the vertical application layer matters most within AI—especially in finance, where vertical solutions can deliver durable competitive advantage.
To apply AI in financial services, organizations face higher hurdles than other industries. The talk will examine three critical requirements in depth:
Key requirements
- AI applications that fuse financial data and business logic — with internal case studies
- Systems that guarantee compliance, reliability, and stability — meeting regulatory demands
- An environment and policy framework that enable financial innovation — including R&D networks
Finally, the session articulates a vision for Financial AI that financial institutions aim to realize, and the concrete building blocks needed to get there.
Speaker
Joo Se-min has built his AI/ML career across both tech and finance. He previously served as Lead AI/ML Consultant at LG CNS and as Head of SaaS Development / Head of AI Service Consulting at Kakao Enterprise, and partnered closely with financial institutions such as KB Kookmin Bank/KB Financial Group and K-Bank from a hands-on business perspective. He now leads enterprise-wide financial innovation at Mirae Asset Securities as Head of the AI Solutions Division, driving transformations with generative AI. With an engineering background and a Ph.D. in economics, he has also taught Financial AI as an adjunct professor at Sogang University—earning a reputation for bridging practice and theory.