In this episode, we explore what happens when large language models (LLMs) meet Industrial IoT in real factory environments. It’s not science fiction — it’s the slow, practical process of teaching AI to understand messy, real-time data from machines and sensors. We talk about where it helps, like simplifying data analysis or spotting anomalies, and where it still struggles, especially with context and reliability. It’s a calm, honest take on what this new wave of “industrial intelligence” actually looks like in practice — equal parts exciting and humbling. For more grounded insights and real stories from the field, visit iiotblog.com.