This presentation will explore the transformative potential of Large Language Models (LLMs) such as GPT and Claude in the realms of statistics, data science, and analytical fieldwork. With the rapid advancement of generative AI, professionals in these fields are uniquely positioned to enhance their workflows through innovative applications of these technologies.
Machine learning (ML) models trained on simulation or manufacturing data can help accelerate analyses crucial to meeting quality requirements. This presentation will introduce design of experiment (DOE) and data sampling…
Learn practical strategies for implementing a comprehensive AI risk management program that enables innovation while minimizing potential negative impacts.
“Quality 4.0" is a term that references the future of quality and organizational excellence within the context of Industry 4.0. Quality professionals can play a vital role in leading their organizations to apply proven quality disciplines to new, digital, and disruptive technologies. To achieve excellence through quality is to embrace the future of quality.
