Simulations generate a large number of model versions, which significantly increases coordination efforts across teams. This presentation demonstrates how AI-driven tools can make version management in Simulation Data Management (SDM) more efficient:

• Automated change documentation and improved version discoverability

• Intuitive visualizations such as 3D previews, historygraphs, and railgraphs for tracking model changes

• Use of generative AI, large language models (LLMs), and machine learning to support annotation, event detection, and content discovery

• Future perspectives: autonomous assistance, agentic AI, and seamless integration