Dev Conference by Neo4j
Session Track: AI
Session Time:
Session description
In this session, Lois will show you how to level up text analytics with graph technology. By integrating machine learning, GenAI, and graph data science in an Agentic setup, you'll see how complex datasets, like CRM data, can be effortlessly analysed with Graph as the core engine. This innovative approach unlocks automated insights and generates dynamic reports, empowering business users to discover actionable intelligence that drives strategic decision-making.
Data Scientist, GovTech Singapore
Lois is a Data Scientist with a degree in Economics. She has gathered experiences working in start-ups, corporates, and now the Singapore government, over the past 7 years of her career. Her area of expertise lies in applied NLP/LLMs for textual data analysis, where she seeks to strike a balance between practical functionality and technical sophistication. Her new-found interest is in combining graph with generative AI, for a more human-centric implementation of process automation.
