What is AI context, and why do AI agents need it?
Taxonomy vs. ontology vs. knowledge graph.
When is a semantic layer enough, and when is an ontology needed?
What makes data truly agent-ready?
Gartner®, Cut Through the AI Context Hype to Deliver Effective AI Agents, 06 October 2026
GARTNER® is a registered trademark and service mark of Gartner®, Inc. and/or its affiliates in the U.S. and internationally.

Essential reading for aligning semantic tech,
agent data preparation, and context architecture.
This Gartner® research report examines the evolving AI context landscape, helping organizations understand emerging technologies, distinguish vendor capabilities, and make informed decisions when preparing for effective AI agents.
The report is relevant for data and analytics leaders, enterprise architects, AI strategists, and technology decision-makers developing AI strategies, evaluating context technologies, or preparing enterprise data for AI agents.
Use the research to identify capability gaps, assess existing investments, and prioritize the context required for specific AI use cases before expanding implementation across the enterprise.
It provides insights for navigating inconsistent market terminology and understanding how different technologies support AI agent requirements, helping decision-makers align technology choices with business needs.
Gartner®, Cut Through the AI Context Hype to Deliver Effective AI Agents, 06 October 2026. GARTNER® is a registered trademark and service mark of Gartner®, Inc. and/or its affiliates in the U.S. and internationally.