AI for the Operator: Transforming Semiconductor Facilities
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Wednesday, October 15th 2025
Online
The semiconductor industry is at a pivotal moment. AI is not only fuelling chip demand worldwide, it is also becoming essential to streamlining production inside fabs. This creates a cyclical pressure: fabs must adopt AI to keep pace with the very demand that AI itself is driving.
But adoption raises critical questions:
- What are suppliers doing with AI today, and what new opportunities will it create?
- How do you implement AI to enhance existing processes without disrupting what already works?
- How much human oversight is needed to supervise, train, and guide these systems?
- Which AI use cases are realistic and which are still hype?
In this exclusive pre-conference webinar, we will bring together technology providers and early adopters from across the semiconductor supply chain to explore:
- Decision making power: how machine learning and digital twins give operators and engineers faster, data driven insights
- Empowering the workforce: how technicians, engineers, and data scientists are being trained to use AI tools in real time
- Testing grounds: how data platforms act as sandboxes to validate AI before implementation within fabs
This is your chance to see what fabs are testing, the key challenges they face, and how suppliers are shaping the next wave of AI driven facility innovation.
Register now to be part of the conversation.
Speakers
Sean Tropsa
Principal Solution Consultant
Seeq Corporation
Sean Tropsa began his career as an engineer in the semiconductor manufacturing industry, where he developed expertise in analyzing large data sets with an emphasis on root cause analysis and process optimization. In his current role as Principal Solution Consultant, Sean leverages this background to help subject matter experts in the Semiconductor Industry apply Seeq to derive actionable insights from their data to meet sustainability goals, while improving reliability, yield, and quality. Sean holds both BS and MS degrees in Chemical Engineering from Arizona State University.
Patrick Bradley
Senior Automation Architect
Intel
Dr. Patrick J. Bradley is a global automation leader with 15+ years of internationally recognized expertise in applied mathematics, industrial engineering, and AI-driven automation. A Marie Curie Fellow with 26 peer-reviewed publications and multiple international awards, he now drives transformation at Intel as Senior Automation Architect and Discovery Program Lead. His initiatives in digital twins, predictive maintenance, and self-service analytics have delivered over $120M in savings, eliminated 100,000+ engineering hours annually, and empowered 1,000+ engineers worldwide. Known for translating complex research into scalable industrial solutions, Dr. Bradley has set new industry standards in Industry 6.0 automation and is a trusted architect of Intel’s global manufacturing strategy.
Manoj Athawale
Senior AI Software Solutions Engineer
Intel
Experienced Senior Technical Lead with a demonstrated history of working with big data and images in semiconductors industry. Skilled in Data Science and engineering, Databases, Project and product Management, and Software Development. Strong information technology professional with a heavy focus on extracting useful signals from large data and images.