The advent of Generative AI in the form of foundation models has reshaped the AI landscape, offering broad out-of-the-box capabilities. As many foundation model applications focus on processing and generating text, and a significant amount of information both for engineering projects (e.g. standards, specifications) and operations (e.g. shift book entries and work orders) is recorded as text, a number of value-adding applications become possible – specifically in the area of knowledge management. Learn about how Evonik has deployed the technology to support both engineers and operations staff in their daily work.

• Efficient processing and utilization of text-based information in technical and operational processes.
• Application of foundation models to support engineers and operations staff.
• Real-world examples from Evonik’s implementation.

• How do we define Knowledge Management in Engineering and Operations?
• What use cases require optimized Knowledge Management in Engineering and Operations?
• How does Generative AI differ fundamentally from Traditional AI, and what does this mean for Knowledge Management?
• What are the most common examples of cases, in which the use of Generative AI for Knowledge Management has led to unexpected outcomes?
• What specific challenges do companies face when implementing Generative AI approaches in Engineering and Operations, and how can they overcome them?

The moderators will present the results of the World Café Round Tables and all the most important questions, challenges and solutions arising from the event will be discussed.