Neo4j stories

BigHammer.ai debuts AI agents to replace complex data stacks, promising up to 70% cost cuts and faster delivery for analytics teams.

Australian firms are using connected graphs to uncover hidden churn risks, predicting departures earlier and sharpening loyalty strategies.

LaunchDarkly names new tech and finance chiefs as revenue nears USD $200 million and demand for AI software delivery tools accelerates.

Neo4j launches Fleet Manager, a unified control plane giving CIOs a single view to govern dispersed graph databases for GenAI workloads.

Neo4j's HopperGraph uses AI to analyse 150,000 Reddit posts, mapping fan theories to predict potential outcomes for Stranger Things' final season.

Agentic AI, powered by knowledge graphs, promises to boost business software use from under 1% to 33% by 2028, despite interoperability and trust challenges.

Neo4j commits USD $100 million to advance agentic and generative AI, launching new products and a global startup programme to boost AI innovation.

Neo4j launches Infinigraph, a distributed graph system uniting operational and analytical workloads at over 100TB for real-time, large-scale data use.

Agentic AI and graph data models are poised to revolutionise SaaS, enabling dynamic, context-rich applications beyond traditional database limits.

Data Squared partners with Neo4j to deliver AI systems with 99% accuracy, ensuring verifiable, transparent results for government and private sectors.

Agentic AI demands richer, connected data, pushing firms to upgrade infrastructures beyond generative AI to unlock smarter, more explainable outcomes.

Neo4j launches Aura Graph Analytics, a serverless, no-ETL graph analytics solution that boosts AI insights by up to 80%, available on a pay-as-you-use basis.

Neo4j is backing the creation of DXC Technology's Career Navigator, enhancing employee skill management and improving retention from 24% to under 15%.

Organisations are continuing to face challenges in progressing generative AI use cases to production, with fewer than one in every five reaching that milestone.

Neo4j has achieved a significant milestone, surpassing USD $200 million in annual recurring revenue amid rising demand for graph technologies in AI.

Neo4j has exceeded USD $200 million in annual recurring revenue, doubling its figure in three years, driven by demand for its graph technology.

Experts warn that rising digitalisation fuels fraud, with AI aiding cybercriminals, prompting calls for robust security and real-time threat response.

The persistent ability of criminals to exploit legitimate structures to launder money has banks and others on the hunt for new tools and techniques to counter the threat.

Neo4j unveils major Aura DBMS enhancements to streamline enterprise adoption and boost graph database performance, with added GenAI and security features.

Philip Rathle's leadership at Neo4J has transformed the startup into a global leader in graph databases, pioneering innovation in connected data and AI.