In this webinar, we will explore synergies between ML Platforms and Graph Algorithms, and focus on how they can boost productivity and at the same time refine predictive models.

Discover how this dynamic combination is shaping the future of machine learning. Based on a real-world example of a Neo4j database containing large volumes of financial transactions, we will enrich our anomaly detection systems with graph embeddings. During the session, we will together build and deploy a prediction system that will make even better use of graph data.