Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. John "Hannibal" Smith (George Peppard) loved it when a plan ...
Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
A context graph could capture the full context, reasoning, and causal relationships behind critical business decisions. It’s a powerful idea. A December 2025 paper from Silicon Valley venture capital ...
Jaya Gupta and Ashu Garg of Foundation Capital on December 23rd, 2025, introduced the term "context graphs" in Context Graphs: AI’s Trillion Dollar Opportunity The paper describes a framework that ...
Metadata Graph Platforms and GraphRAG Enablement Services Gain Momentum as Enterprises Prioritize Trusted AI Data Infrastructure, Semantic Integration, and Operational Intelligence NEWARK, DE / ACCESS ...
Adopting AI requires a thorough, organized, prepared approach for it to best deliver on its plethora of lofty promises. Through the power of knowledge graphs, enterprises can fuel AI strategies with ...
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 ...
To stay visible in AI search, your content must be machine-readable. Schema markup and knowledge graphs help you define what your brand is known for. New AI platforms, powered by generative ...
Understand the merits of large language models vs. small language models, and why knowledge graphs are the missing piece in the equation. Enterprise AI tends to default to large language models (LLMs) ...
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