Learn: How to Get Your Data AI-Ready with Knowledge Graphs & GraphRAG
As teams move GenAI from prototype to production, they hit real-world challenges—like boosting accuracy, making outputs explainable, and connecting LLMs to internal data and systems.
This calls for AI-ready data —connected data that’s contextual, flexible, and standardized. Learn how to get your data ready to build more reliable AI agents and apps by pairing a knowledge graph with RAG to create a GraphRAG architecture.
Join us for a 30-minute walkthrough of GraphRAG.
- Turn unstructured data into knowledge graphs
- Boost LLM accuracy, traceability, and governance
- Watch a demo of an AI agent that plans equipment maintenance with minimal customer impact — no fine-tuning required
- Hear how a major gaming company achieved 10x faster insights
- Learn how Klarna drove 85% adoption of its knowledge assistant and retired 1,200+ fragmented SaaS tools
Register today. You’ll receive access to an on-demand recording of the event, whether you attend or not.
SPEAKER
Zachary Blumenfeld
AI/ML Product Specialist
Zach is an AI/ML product specialist who helps engineers, data scientists, and business leaders leverage graph technology for advanced analytics and AI applications. His expertise spans several dynamic fields, including criminal fraud detection, identity resolution, and recommendation systems. With a background in both data science and software engineering, Zach has utilized graph computing in critical projects for law enforcement and government agencies, supporting missions that counter drug trafficking, human smuggling, money laundering, and child exploitation. He has led the development of comprehensive, full-stack graph systems for expansive search and analytical requirements.
