Practical AI · Thursday, September 3, 2026
Chaiten Gupta described the evolution of industrial AI, moving from early focus on problems like failure prediction and recommended repairs to incorporating computer vision for defect detection and quality control with the rise of deep learning. More recently, large language models (LLMs) have expanded possibilities in robotics and human-machine interaction within industrial settings.
“So, if you look at the industrial value chain, from design all the way to manufacturing.”
“So, initially, it was much more around the prediction, like you failure prediction, that's a classical predictive maintenance problem.”
“And then, as we got into large language models, then there was further expansion of what you could do in the industrial world itself.”