State of Data Products 2026 Q2
State of Data Products is a quarterly read for senior data and AI decision-makers that reports the industry reality of enterprise data and AI. This edition covers ontology as AI infrastructure, the agentic AI deployment gap, observability blind spots, and why lean AI is the economic reality check the industry needed.
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Key Themes This Quarter
- Ontology is a non-negotiable infrastructure for agentic AI.
- Enterprises have adopted agentic AI, but deployment in production remains a challenge.
- Ontology-first or AI-first is the sequencing decision shaping AI outcomes right now.
- Current observability tools track agent activity, not agent correctness.
- Lean AI is replacing frontier models as the sustainable enterprise default.
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What's Next?
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Observability vendors are racing to close the evaluation gap. And lean AI is shifting from philosophy to procurement criteria. Q3 will separate the enterprises that planned from the ones that patched.
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