Speaker: Hein Mun Lam
Hein Mun Lam is the Chief Executive Officer of Stellarchip Technologies Pte. Ltd., where he leads the company's mission of enabling AI-powered analytics and intelligent manufacturing solutions for the semiconductor industry. With a passion for digital transformation and data-driven innovation, he works closely with semiconductor manufacturers to unlock greater operational efficiency, yield improvement, and business value through advanced analytics.
Prior to joining Stellarchip, Hein Mun served as a Director at Qualcomm, where he led systems and capabilities for yield analysis. Before Qualcomm, he spent more than two decades at GLOBALFOUNDRIES, holding senior leadership positions across yield engineering, test operations, manufacturing excellence, and AI/ML. He spearheaded initiatives that transformed manufacturing data into predictive insights, driving improvements in yield, equipment reliability, and factory performance while building high-performing engineering organizations.
Combining deep semiconductor manufacturing expertise with executive leadership in AI and data analytics, Hein Mun brings a practical perspective on how data serves as the foundation for successful AI adoption. Drawing from his experience across leading semiconductor companies and his current role at Stellarchip Technologies, he will share why data is the lifeblood of AI in the semiconductor industry and how organizations can harness it to achieve sustainable manufacturing excellence.
Subject 1 : Why Data is the Lifeblood of AI in Semiconductor Industry
Abstract:
The convergence of big data ecosystems and advanced AI is reshaping the future of semiconductor design, test, and analysis.
While data remains the foundational fuel for modern AI, real value is unlocked when AI transforms fragmented information into actionable intelligence, autonomous decision-making, and continuous operational optimization.
In the emerging Agent Era, the nature of work itself is being redefined - evolving from analytic platform to a true digital workforce and ushering in the rise of digital employees.
Target Audience: Foundry/IDM/Design house EDA users