Speaker
Description
The key to successful AI-Chatbot implementation is integrating multiple data sources across the scientific facility. At ELI Beamlines, the system will aggregate heterogeneous operational data sources, including control system logs and archived telemetry, alarm system records, digital logbook entries, and other knowledge bases. This integrated repository forms the foundation for an AI chatbot that provides real-time, context-aware support to control room operators.
The chatbot leverages this unified knowledge base to assist in troubleshooting technical issues, answer facility-specific queries, and automatically generate operations log reports. This approach aims to reduce operator cognitive load and improve efficiency by combining multiple knowledge streams into a single, accessible interface. We outline the system architecture, the data integration strategy, and how this AI-powered tool supports daily operational workflows and knowledge management at ELI Beamlines.
| Paper status | Proceeding files received |
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