Towards Natural Language-based AI Agents for Environmental Data Exploration and Analysis Workflows
Dr. Renato J. Figueiredo, Professor of Electrical Engineering and Computer Science, Oregon State University
This presentation will overview techniques that leverage AI multi-agent systems for data exploration and analysis that use environmental data deposited in repositories such as EDI and NEON. Such systems leverage Large Language Models (LLMs) to automate steps in data exploration and analysis workflows – such as the generation and execution of API queries, metadata processing and data harmonization, and generation of analysis code – while exposing user-friendly conversational interfaces.
