Building Beneath the Agent Era — Ontology, the Data Layer Every AI Stands On
Session Overview
Many companies are adopting Copilot and AI agents, yet the results often fall short of expectations. The problem is not always the model itself — it is that enterprise data is not yet AI-ready. When critical knowledge remains scattered across systems, AI is forced to operate on incomplete context and make educated guesses.
This session takes the view that before the agent comes the data layer: Ontology. Framed as a conversation between an investor and industry practitioners, Microsoft and Enhans will explore how ontology can add meaning and relationships to fragmented enterprise data and turn it into an AI-ready layer. The discussion will also cover how Microsoft's data, cloud, and Copilot ecosystem — together with ECIF funding — can accelerate enterprise AI adoption.
Drawing on a global manufacturing transformation that had stalled for two years, the speakers will share how organizations can move from fragmented data and prolonged experimentation toward a practical, production-oriented AI foundation. The session will close with a funding-linked implementation playbook that can be launched within weeks, offering a concrete path for enterprise AI adoption.
Key Takeaways
- Why AI-ready data must come before AI agents
- How Ontology gives fragmented enterprise data meaning, context, and relationships
- How Microsoft's data, cloud, and Copilot ecosystem — including ECIF funding — can accelerate adoption
- Lessons from a global manufacturing transformation that had stalled for two years
- A practical, funding-linked enterprise AI implementation playbook that can be launched within weeks
Speakers
Sukyeon Jung leads AI agent and ontology-based enterprise AI initiatives at Enhans. He works with major companies in Korea and overseas to identify practical AI use cases and connect technology with real business processes and measurable business outcomes.
He previously founded and exited a startup and has built experience across finance, cloud, and technology at Bank of America Merrill Lynch, MegazoneCloud, and Viva Republica. He earned his bachelor's degree from the University of California, Berkeley.
Wonchan Jung develops go-to-market strategies and business initiatives that support AI innovation and growth for enterprise customers. Drawing on experience across Microsoft, Twitter, and Uber, he has worked across partnerships and growth strategy to connect AI and cloud technologies with practical business outcomes.
He has led a range of projects and programs to expand AI adoption in Korea and now supports Korean startups and AI companies in their AI transformation and growth across Asia-Pacific and global markets. His work spans AI adoption strategy, platform transformation, commercialization, and business growth across both enterprise and digital-native customers.
TIMEFOLIO Capital
Wuil Park graduated from Yonsei University with a degree in Materials Science and Engineering and began his career at Samsung Electronics' Semiconductor Research Center, where he worked on materials technology development and technology planning.
He later moved into investment roles at TIMEFOLIO Asset Management and TIMEFOLIO Capital, focusing on technology-driven sectors including AI, deep tech, and semiconductors. Combining hands-on engineering experience with an investor's perspective, he analyzes the AI value chain through the lenses of industry, technology, and capital.