This collection covers a variety of applications and advancements in graph databases, particularly focusing on their role in enhancing data integration, analysis, and understanding across numerous fields such as healthcare, finance, and AI. The content addresses the evolution of graph technology, the challenges and benefits of implementing knowledge graphs, and their synergies with generative AI. Real-world use cases demonstrate how graph databases optimize processes, improve decision-making, and facilitate complex queries, marking a significant shift from traditional data management practices.
Your Enemies Use GenAI Too! Staying Ahead of Fraud with Neo4j Knowledge Graphs_Gartner Symposium Gold Coast, Australia 2024, Emil Pastor, Head of Solution Architecture A/NZ, Neo4j
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