AI & Data Leaders
Make the case for agents that actually reach production.
Inside the report:
- The ROI number behind the agentic AI value gap
- The 2027 accuracy and cost planning assumption
- What to budget beyond the platform license
Fewer than 1 in 10 agentic AI projects captures strong ROI, says Gartner. Read their first guide to building production-ready AI with context, free.



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“AI context platforms are the most critical enabling tech for 2027.”
Gartner, Emerging Tech Impact Radar: Generative AI, August 2026
What role do semantic layers, ontologies, and knowledge graphs play in an AI context platform, and how are they different?
Should knowledge ingestion and context mining be automated? How is context delivered at runtime through open protocols? Can context be versioned? This is your evaluation checklist.
Who are the vendors in play, and where did each start? Atlan is among the leading vendors named, voted the top emerging context solution at the Gartner D&A Summit.
More research and guides on giving AI agents the context they need.

The definitive explainer on what the context layer is, how to build one, and why it decides whether agents reach production.

How CIOs are architecting context graphs as the connective tissue between fragmented data systems and fragmented agents.

The research behind the 5x agent accuracy improvement, and what it takes to reach it through context quality, not bigger models.

The complete resource hub: what the layer is, why AI agents need it, and how teams implement it.

Predictions for how the modern data stack is rebuilt for AI.

The definitive explainer on what the context layer is, how to build one, and why it decides whether agents reach production.

How CIOs are architecting context graphs as the connective tissue between fragmented data systems and fragmented agents.

The research behind the 5x agent accuracy improvement, and what it takes to reach it through context quality, not bigger models.

The complete resource hub: what the layer is, why AI agents need it, and how teams implement it.

Predictions for how the modern data stack is rebuilt for AI.