Artificial Intelligence (AI) is poised to drive the next wave of technological disruption across nearly every industry. Just like previous technology revolutions in web and mobile, however, there will be winners and losers based on who can harness this technology for a true competitive advantage.
Neo4j customers are demonstrating that graph databases bring tremendous value to AI and machine learning projects, especially in the area of knowledge graphs. Because of their structure, knowledge graphs add essential context for AI applications by capturing facts related to people, processes, applications, data and things, and the relationships among them. They also capture evidence that can be used to attribute the strengths of these relationships.
eBay’s ShopBot Delivers Recommendations with Artificial Intelligence and Neo4j
eBay’s Chief Product Officer explains how he turned to graph software because existing product searches and recommendation engines were unable to provide contextual information within a shopping request.Read more
Ernst & Young: Knowledge Graphs, the Path to Enterprise AI
Knowledge graphs are a foundation of artificial intelligence. This presentation includes a range of how-to information for building an enterprise knowledge graph, including how to recognize graph problems.Watch video
Neo4j & Expero: Lower Risk and Stop Fraud Using Graph-Enhanced Machine Learning and AI
Understand how successful financial services, banks and retailers are using graph technology and embedding intelligence to quickly identify risk and fraud patterns as they evolve.Watch video