NODES 2025 - Labor Market Landscape Modeling with Knowledge Graphs

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9 learners

What you'll learn

This course includes

51.3 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

neo4j graph databases graphs LLM retrieval augmented generation RAG vector database vector search GenAI AI Artificial intelligence nodes25

Full Transcript

In this session, the speakers will present an approach to modeling and predicting Singapore’s labor market using a snapshot-based knowledge graph. Amid rapid workforce transformation and AI-driven job disruption, the session will demonstrate how knowledge graphs can reveal how the labor landscape is evolving. By integrating expert-curated and real-time labor data, this approach provides valuable insights for policymakers and developers. You will learn how to build and use knowledge graphs to integrate diverse datasets, perform graph-based reasoning, and extract actionable insights. The session will equip you with both the conceptual foundations and practical tools to develop similar knowledge graphs. Speakers: Lois JI & Yee Sen TAN Resources: Get Started with Aura - https://bit.ly/3LOLrjh Deployment Center - https://bit.ly/4jOelM3 Ground AI Systems and Agents with Neo4j - https://bit.ly/4oVsnyb #nodes2025 #neo4j #graphdatabase #graphrag #knowledgegraph