AI in Action | Applications of Generative AI in Manufacturing

ChatGPT, Gemini, Mixtral, Copilot… These are just some of the Large Language Models (LLMs) that have emerged in the last 12-18 months. But what is the potential of Generative AI in manufacturing and how can these models best be used?

In the webinar presentation “AI in Action: Applications of Generative AI in Manufacturing” by Carlos Garcia, Head of AI Strategy at IMR, a comprehensive overview is provided of how LLMs are influencing the manufacturing sector. Carlos begins with a historical perspective as he demystifies the concepts of Generative AI and dives into its potential applications in manufacturing.

The core of the presentation focuses on the integration of Generative AI within manufacturing processes. Carlos highlights the role of LLMs in this transformation, detailing what LLMs excel at and their limitations. He contrasts open-source models with closed ones, providing a nuanced understanding of their applications in the industry.

This presentation identifies seven specific use cases where generative AI can significantly impact manufacturing:

1. Analysing machine logs to enhance efficiency and predict issues.
2. Serving as a data analysis expert to interpret complex datasets.
3. Extracting information from diagrams for better decision-making.
4. Assisting in the comprehension and application of technical manuals.
5. Improving asset maintenance through predictive insights.
6. Advancing machine vision for improved quality control and automation.
7. Enhancing robotics for more sophisticated and versatile tasks.

Whether you want to use LLMs for data analytics, documentation, quality control, or any other aspect of manufacturing, this presentation will give you the essential knowledge and skills to take advantage of this emerging technology.