Calling all data scientists, developers, and managers! 📢
Looking to level up your team's knowledge of graph technology?
We're excited to share the recorded 2-part training series, "Graph Tech Demystified" with the amazing Paco Nathan. This is your chance to get up to speed on graph fundamentals:
In Part 1: Intro to Graph Technologies, you'll learn:
- Core concepts in graph tech.
- Common pitfalls and what graph technology won't solve.
- Focus of graph analytics and measuring quality.
🎥 Recording https://lnkd.in/gCtCCZH5
📖 Slides https://lnkd.in/gbCnUjQN
In Part 2: Advanced Topics in Graph Technologies, we explore:
- Sophisticated graph patterns like motifs and probabilistic subgraphs.
- Intersection of Graph Neural Networks (GNNs) and Reinforcement Learning.
- Multi-agent systems and Graph RAG.
🎥 Recording https://lnkd.in/g_5B8nNC
📖 Slides https://lnkd.in/g6iMbJ_Z
Insider tip: The resources alone are enough to keep you busy far longer the time it takes to watch the training!
GraphRAG in Action: A Simple Agent for Know-Your-Customer Investigations | Towards Data Science
This blog post provides a hands-on guide for AI engineers and developers on how to build an initial KYC agent prototype with the OpenAI Agents SDK. We'll explore how to equip our agent with a suite of tools (including MCP Server tools) to uncover and investigate potential fraud patterns.
What are the Different Types of Graphs? The Most Common Misconceptions and Understanding Their Applications - Enterprise Knowledge
Learn about different types of graphs and their applications in data management and AI, as well as common misconceptions, in this article by Lulit Tesfaye.
why graphs would be superior to using Python for agents
Graph is increasingly driving the Agentic space, which I see as being a very good sign. Recently, a programmer asked why graphs would be superior to using…