SemiAI CEO Taekwon Jee Presents Vision for "Autonomous Fab Analytics" at Deep Tech Convergence Event
Agentic AI for Predictive Yield and Autonomous Fab Analytics
Taekwon Jee, CEO of semiconductor manufacturing artificial intelligence (AI) company SemiAI, will speak at the "2nd Mutual Growth Forum 2026 - Deep Tech Convergence Networking Day," to be held in Seoul on August 18. In the AI for Digital Life session, Jee will present "Agentic AI for Predictive Yield and Autonomous Fab Analytics," outlining how agentic AI can use semiconductor process data to predict yield and automate analytical workflows.
From Prediction to Autonomous Analytics in Manufacturing
The presentation will focus on moving beyond the use of generative AI as a simple question-and-answer tool toward an autonomous analytics framework in which multiple AI agents analyze process, equipment, and metrology data, formulate hypotheses, and validate them. This approach can help manufacturers detect early signs of anomalies, predict potential yield loss, and prioritize likely root causes. Semiconductor fabs are particularly complex environments, with tightly interconnected process steps and equipment generating high-dimensional data at massive scale. SemiAI explains that agentic AI is intended not to replace engineers' judgment, but to support better decisions by systematically exploring parameters, correlations, and time-based patterns that are difficult to evaluate manually.
SemiAI Expands the Practical Adoption of AI in Semiconductor Manufacturing
SemiAI develops AI technologies that use semiconductor manufacturing data to support prediction, virtual metrology, anomaly detection, and root cause analysis. Through this presentation, the company plans to share with industry stakeholders how Predictive Yield and Autonomous Fab Analytics can improve manufacturing efficiency and engineering productivity.