Speaker: Vega Lin
Vega Lin is a highly experienced Application Engineer at Perforce Software, collaborating closely with business partners across Asia and delivering technical expertise to customers and prospective clients. With over 20 years of experience in software development, system analysis, and technical support, he brings deep knowledge of software engineering, system architecture, and product management.
For more than a decade, Vega has focused on supporting Perforce customers, with expertise in data migration. He is dedicated to enabling customer success through high-quality technical guidance and support. Known for his customer-centric approach, Vega is committed to helping organizations achieve their objectives and maximize the value of their investment in Perforce solutions.
Subject: Tame Complexity and Maintain Control: IP-Centric Design in the Age of AI
Abstract:
VComplex designs, shrinking timelines, and AI acceleration put immense pressure on semiconductor teams. For organizations of any size, the challenge isn’t just scale, it’s control.
Modern chips rely on an intricate mix of internal and third-party IP blocks, making IP governance and data provenance critical to success. At the same time, distributed teams, heterogeneous toolchains, and AI create challenges around cross-functional collaboration, security, and traceability
So, how do you move faster without losing visibility or control?
In this session, we’ll explore:
1. Where complexity breaks down in modern IP-driven design
2. Why AI demands stronger guardrails
3. The hidden risks of version sprawl, limited IP visibility, and fragmented collaboration
4. Practical ways to improve traceability, enforce governance, and reduce risk
You’ll walk away with a clearer understanding of how a unified, IP-centric approach to design data management improves IP reuse and supports innovation while maintaining the traceability and control needed for security and compliance in the age of AI.