Ahead of our September 25 lab, Snowflake—one of the world’s largest enterprise data and AI platforms—has published an important finding: even a shared warehouse containing good data is not enough for AI agents. Agents also require a governed context layer that defines what the organization’s data means.
This is significant because it validates why ARA™ RAM 2025™ powered by SLAP OS™ is timely. A semantic layer can give AI governed definitions for what the organization already knows. ARA™ tests whether those definitions and assumptions reflect the real operating environment; RAM 2025™ challenges them across multiple models; and SLAP OS™ orchestrates the resulting human–machine reasoning while preserving decision provenance and human accountability.
Snowflake is not endorsing Hansen. It is independently confirming that direct access to models and data is insufficient—and that the missing context, validation and governance layers are becoming essential enterprise infrastructure. We will address that distinction during the September 25 lab.
If you haven’t yet registered, here are the details:
Friday, September 25 at 9:30 AM Eastern. The lab is free, and everyone who attends will receive a copy of Thinking With the Machine.
Register here:
https://www.linkedin.com/events/7504567838724997120/
A second run follows on Wednesday, September 30 at 1:00 PM Eastern for anyone who cannot attend the Friday session.
It is time to start working with technology rather than for technology.
-30-
Truth Is Believing. Accuracy Is Knowing. Outcome Is Proof.™
Jon W. Hansen, FCIPS — Procurement Insights | Hansen Models™
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Snowflake Says Good Data Is Not Enough for AI Agents. What Comes After the Semantic Layer?
Posted on September 18, 2026
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Ahead of our September 25 lab, Snowflake—one of the world’s largest enterprise data and AI platforms—has published an important finding: even a shared warehouse containing good data is not enough for AI agents. Agents also require a governed context layer that defines what the organization’s data means.
This is significant because it validates why ARA™ RAM 2025™ powered by SLAP OS™ is timely. A semantic layer can give AI governed definitions for what the organization already knows. ARA™ tests whether those definitions and assumptions reflect the real operating environment; RAM 2025™ challenges them across multiple models; and SLAP OS™ orchestrates the resulting human–machine reasoning while preserving decision provenance and human accountability.
Snowflake is not endorsing Hansen. It is independently confirming that direct access to models and data is insufficient—and that the missing context, validation and governance layers are becoming essential enterprise infrastructure. We will address that distinction during the September 25 lab.
If you haven’t yet registered, here are the details:
Friday, September 25 at 9:30 AM Eastern. The lab is free, and everyone who attends will receive a copy of Thinking With the Machine.
Register here:
https://www.linkedin.com/events/7504567838724997120/
A second run follows on Wednesday, September 30 at 1:00 PM Eastern for anyone who cannot attend the Friday session.
It is time to start working with technology rather than for technology.
-30-
Truth Is Believing. Accuracy Is Knowing. Outcome Is Proof.™
Jon W. Hansen, FCIPS — Procurement Insights | Hansen Models™
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