Neo4j today announced the upcoming release of Neo4j 3.5, a native graph platform solution designed for AI-powered, real-time business applications.
Neo4j, a pioneer in data modeling technology, today announced the upcoming release of Neo4j 3.5, a native graph platform solution designed for AI-powered, real-time business applications. Informed by AI customer deployments for companies like eBay and Caterpillar, Neo4j 3.5 delivers foundational upgrades for AI-powered systems including knowledge graphs, fraud detection, recommendation systems and conversation engines. Most models and techniques that underpin AI systems are not made to detect connections or relationships within datasets. But property graphs link attributes and complex relationships across the graph, t hereby making them the ideal data structure to power machine learning models. “This relationships-first approach adds context to data, which is key to accurate, well-informed predictions,” Eifrem said. “With Neo4j 3.5 we have worked extensively with our customers to deliver the robustness and scale they need for tomorrow’s graph-powered artificial intelligence systems.” According to a release issued by the company, the Neo4j 3.5 will include the following upgrades: Developer Productivity- Full-Text Indexing:
- Official Language Driver for Go:
- Expanded Native Indexing
- Faster Sorting
- Subject Alternative Name / Hostname Verification
- Encryption of Intra-Cluster Discovery Traffic
Keywords: AI / Machine Learning • data • Graphs4Good • neo4j • social impact