Neo4j stories

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.

Alibaba Cloud will invest over USD $60 million to enhance AI innovation and strengthen its global partner network with new technology collaborations.

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.

Generative AI's power is amplified by knowledge graphs, making tools like ChatGPT and Google's Gemini smarter, reducing errors, and combating biases, thus revolutionising industries.

Neo4j and Snowflake reveal an integration to embed graph data science within the Snowflake Data Cloud, enhancing AI and ML insights.

Microsoft launches Microsoft Fabric, an AI-driven platform improving data analysis for businesses. Aurizon, Australia’s largest rail freight operator, reports substantial benefits from adopting this system.

Neo4j celebrates the publication of the first new database query language by ISO in over 35 years - the Graph Query Language (GQL), a notable milestone in database innovation.