AskRADS: An AI Recommendation Agent for Maximizing ROI of Data Science Collaborations (Regis James)
AskRADS: An AI Recommendation Agent for Maximizing the ROI of Data Science Collaborations
Speaker(s): Regis A. James
Abstract:
Blockers to crucial data-driven decisions can often be a challenge. To address this, we established RADS, the Regeneron Analysts and Data Scientists, as a Community of Practice for exchanging strategies on eliminating these obstacles. RADS has grown to nearly 500 members, creating a new challenge: avoiding redundancy and helping non-RADS colleagues find the right experts. To solve this, we developed AskRADS, an AI agent on Posit Connect that provides recommendations based on discussions, experts, and relevant resources. It uses R, Shiny for Python, FastAPI, LangGraph, Neo4j GraphRAG, and MySQL. This talk will cover its architecture, AI search solutions, and optimization techniques. posit::conf(2025) Subscribe to posit::conf updates: https://posit.co/about/subscription-management/
Shiny for Python
Shiny
Posit::conf(2025)
RStats
Python
Data Science
Data
Ai