Making LLMs Work on the Factory Floor: ARC Asia Industry Insights Event

Event Synopsis
As manufacturing organizations accelerate digital transformation, large language models (LLMs) and agentic AI are moving from experimentation to real shop floor applications, This ARC Industry Insights webinar examines how these technologies can be applied effectively in manufacturing environments. We begin with a grounded overview of how LLMs work, where they add value in manufacturing, and where they fall short. Practical use cases such as knowledge retrieval and automated documentation are explored alongside real constraints including domain specific language, hallucination risks, latency requirements, IP protection, and integration with legacy manufacturing systems. The session then introduces agentic AI as a structured evolution rather than a leap to uncontrolled autonomy. Through real manufacturing examples, we demonstrate how bounded agentic workflows can automate tasks such as generating reports and guiding operators, while keeping humans in control.

Guest Speaker 
Michael Thavarajah, Director and Principal Engineer at Intel Foundry in Penang, Malaysia, has close to 25 years of extensive experience in the semiconductor manufacturing industry, with a specialized focus on sort, assembly, and test, He is at the forefront of driving transformative initiatives within Intel, leveraging AI and advanced automation to enhance operational efficiency and innovation In addition to his technical expertise, Michael is a passionate advocate for education and empowerment, serving as the leader of Intel's AI for Youth Program initiative in Malaysia. He is committed to integrating technology responsibly and impactfully to shape the future of both the semiconductor manufacturing industry and the next generation of tech leaders in an AI-driven world.