Last Chance to Register — AI Meets Capacity Limits: Accelerating SMART Manufacturing in the Semiconductor Fab

 

Register Can’t attend the live webinar?  Register and we will send you a link to watch the recording at your convenience. Overview: The semiconductor fab is at a turning point. Manufacturers are under simultaneous pressure from rising process complexity, tightening yield requirements, and an aging workforce — with roughly a third of experienced engineers approaching retirement over the next decade. At the same time, the surge in AI-driven chip demand is pushing foundry utilization toward its limits, creating acute capacity constraints particularly in memory fabrication. SMART Manufacturing — the integration of real-time data, advanced analytics, and AI-driven decision-making across the fab floor — offers a path forward. But realizing that potential requires more than deploying algorithms. It demands integrated data infrastructure, coherent operating models, and governance frameworks that can survive contact with high-volume, physics-driven production environments. This webinar brings together industry experts to examine how AI and SMART Manufacturing principles are reshaping fab operations — from equipment and sensor data through to autonomous process control — and what it takes to move beyond the pilot phase and achieve production-scale results. The conversation will also address how advanced packaging, heterogeneous integration, and silicon photonics are emerging as strategic responses to capacity constraints at leading-edge nodes. What you'll learn: Why more than 70% of AI initiatives in semiconductor manufacturing never scale beyond the pilot phase — and the structural reasons behind it   How SMART Manufacturing frameworks integrate equipment data, process control, and AI to drive yield improvement and fab efficiency   The 8 core pillars that unite traditional Computer Integrated Manufacturing (CIM) with modern AI capabilities — from sensors to autonomous applications   How workforce demographic shifts are creating operational risk on the fab floor, and how AI-augmented systems can help close the gap   Why increasing tape-out volumes driven by AI productivity gains are stressing foundry capacity — and what manufacturers can do about it   How advanced packaging and heterogeneous integration are becoming strategic tools for managing capacity constraints at leading-edge nodes   Three principles for fab and operations leaders: build data foundations before models, design for trust from day one, and scale deliberately Who should attend? Process engineers, yield engineers, fab operations managers, APC and CIM teams, equipment engineers, manufacturing IT leaders, and executives responsible for driving AI and digital transformation initiatives in semiconductor manufacturing environments.   Presented by:  Ahmed Ben Slimane ASIC Portfolio Strategy & Roadmap, IC-Link (imec) Founder, Strategic Semiconductors   About the Presenter: Ahmed leads ASIC portfolio strategy and roadmap development at IC-Link (imec), with a focus on advanced nodes, chiplet integration, and 3D packaging technologies. He also advises investors and corporates on semiconductor M&A and market strategy through Strategic Semiconductors (Paris). With roots in compound semiconductor research and over a decade of experience across market intelligence, business development, and portfolio management, Ahmed brings a rare combination of engineering depth and strategic breadth to the semiconductor industry. He holds a PhD in Electrical Engineering from KAUST and a Master’s in Micro- and Nanotechnology from INPG and EPFL.   Jonathan Holt Sr. Director of Product Management, PDF Solutions   About the Presenter: Jonathan Holt is a veteran of the semiconductor industry, with over 40 years of experience dedicated to turning complex manufacturing challenges into opportunities for innovation. As Sr. Director of Product Management at PDF Solutions, he leads the vision and strategy behind advanced analytics and big-data platform solutions that power some of the world’s most sophisticated fabs, foundries, and OSAT operations. Over his 18 years at PDF Solutions, he has become known for connecting deep engineering insight with practical, scalable solutions that move the industry forward. His work has helped manufacturers accelerate yield, improve efficiency, and unlock new levels of performance at a time when semiconductor technology is more critical than ever. Jonathan brings a rare blend of hands-on manufacturing experience, data-driven thinking, and product leadership — making him a trusted voice on the future of semiconductor production and digital transformation across the supply chain.

Register Sponsored by: