Graph Embeddings: 5 Ways Your AI Can Learn From Your Connected Data - Nicolas Rouyer

Get ready to explore the power of graph embeddings and unlock the potential of connected data in this engaging video with Nicolas Rouyer👨‍💼. Graphs offer a versatile representation for diverse datasets, ranging from complex supply chains and medical research to customer 360 and fraud detection. In this enlightening session, Nicolas, a pre-sales engineer at Neo4j with 22 years of IT experience, takes you on a journey through the world of graph technology.

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Discover the five compelling ways your AI can learn from interconnected data using graph embeddings. In this video, you’ll uncover the insights and patterns hidden within complex relationships to enhance machine learning and AI algorithms. Nicolas shares his expertise as a former Big Data expert at Orange, a leading telecom company, and his extensive experience working with various GSI companies. Dive into the world of graphs and unleash the true potential of your data.

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Key Topics:
0:00 - Introductions
1:08 - Neo4j
4:45 - Graphs & AI: Neo4j Graph Data Science Library
7:35 - Graph Embedding
11:47 - Graph Embedding: Use Cases
18:05 - Demo
26:47 - Key Takeaways

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