Generative AI for Industrial Transformation (GAIT)

2025-04-02

This research project focuses on improving how workers in manufacturing access and share information. Today, important data—such as equipment manuals, process descriptions, and real-time production updates—are often stored in separate systems, making it difficult to get a complete picture. Our goal is to break down these barriers and connect these data sources so that workers, like operators and technicians, can easily find and use the information they need. For example, if a section of an electric furnace suddenly overheats, workers should receive specific, real-time insights about that exact situation—not just general information about furnaces.

Why this Matters

The successful application of AI in industry will be key to future Swedish and European competitiveness. Moreover, giving access for all people working in industry to tools that utilize data and analytics is inclusive and can provide a sense of participation in the technological development in society.

How to achieve this

We are exploring the use of advanced AI technologies, such as large language models, vector databases, and machine learning techniques, to ensure reliable and safe information access.
We are also studying how to design the digital infrastructure, including whether AI systems should be hosted on-site or in the cloud. Additionally, we are considering the human side of AI in manufacturing—making sure these technologies are practical, understandable, and beneficial for the people using them.

What GAIT will Achieve

• Reliable AI Results – Developing methods to verify the accuracy and trustworthiness of AI (such as large language models).
• Guidelines for Use – Creating practical instructions on when and how to use these technologies—and when not to.
• Real-World Testing – Evaluating AI solutions together with industry professionals in actual work environments.
• Academic Contributions – Producing research papers and supporting a PhD in industrial systems.