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Next-generation database reduces AI hallucinations and improves accuracy by 78%

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...
VentureBeat

Neo4j lowers barriers to graph technology with gen AI copilot, 15x read capacity

As enterprises continue to double down on AI and analytics, data infrastructure vendors are doing everything they can to lower the adoption barriers to their products and deliver maximum ROI to teams ...
HackerNoon

The Race to Build AI’s Context Layer Is Really About Meaning

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Modern Data & Knowledge Platforms: The Foundation Every AI Strategy Actually Runs On: SD Times 100

Part of the SD Times 100 2026 series. See the full SD Times 100 2026 list for every category and honoree. Every conversation ...
VentureBeat

Microsoft Fabric's graph gambit: How LinkedIn tech aims to solve AI's context problem

Credit: Image generated by VentureBeat with FLUX-pro-1.1 Without data, enterprise AI isn't going to be successful. Getting all the data in one place and having the right type of data tools, including ...