Ontology: The Data Layer That Makes Enterprise AI Work — Implementation Case Study and Roadmap
Session Overview
When AI agents fail to deliver the expected results, the problem is often not the model itself, but the fact that enterprise data is not AI-ready. Critical knowledge is scattered across Microsoft 365, Teams, and the web, leaving AI systems to work with fragmented context.
In this session, Microsoft and Enhans present the view that the data layer—Ontology—must come before the agent. By bringing together Microsoft 365 and web data through Work IQ and Web IQ, and structuring it into an AI-ready ontology, organizations can move beyond Copilot-style retrieval toward more accurate, context-aware answers.
The speakers will also share a two-year transformation case from a global manufacturing company and explain how Microsoft and Enhans worked together to reduce the risk of customer proof-of-concept deployments. The session concludes with a practical implementation playbook designed to help organizations begin building an ontology-driven AI foundation within two weeks.
Key Takeaways
- Why enterprise data readiness matters more than the model alone
- How Ontology creates the foundation for reliable enterprise AI
- Connecting Microsoft 365 and web data through Work IQ and Web IQ
- Lessons from a two-year global manufacturing transformation
- A practical roadmap for launching an ontology-based AI initiative in two weeks
Speakers
Sukyeon Jung leads AI agent and ontology-based enterprise AI initiatives at Enhans. He works with major Korean companies to identify practical AI use cases and connect technology with real business processes and measurable outcomes.
Before joining the startup ecosystem, he built experience across finance, cloud, and technology transformation 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 helps customers connect AI and cloud technologies with practical business outcomes.
He works with organizations ranging from large enterprises to digital-native companies, supporting AI adoption strategies, platform transformation, commercialization, and global market expansion.