A VB Pulse survey of 101 enterprises finds 57% traced a wrong AI agent answer to bad context, and only 25% have a governed context layer in production.
Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
Sales, a function that obviously runs on language, has been among the least changed by the technology built on language.
A connected finance core brings together planning, operations, controls and data signals across the enterprise.
Researchers have developed AdapGNN, a novel model-agnostic framework that addresses the oversmoothing problem in graph neural ...
The research project promises more efficient long-term recall by organizing knowledge around abstractions and cue-based ...
You could feel the rough card in your hand and hear the quiet thump of the date stamp. The smell of old paper made the whole ...
Solving the health crisis in the United States will require confronting things far harder than readjusting a fee schedule.” ...
Discover how neurosymbolic AI can enhance enterprise AI pilots. Learn strategies for effective implementation and overcoming ...
https://www.jstor.org/stable/10.1521/jj.41115468 Your institution does not have access to this book on JSTOR. Try searching on JSTOR for other items related to this ...
While AI holds the promise of radically transforming KM, human oversight takes on intensified responsibilities for ensuring the knowledge provided is accurate, timely, and relevant as well as guarding ...
CrowdStrike Holdings, Inc. is well-positioned for AI security growth; its valuation is at least 5x higher than competitors.
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