Explore blogs, demos, datasheets, whitepapers, and more to learn how Codd AI transforms your data into insights
Join Gary Patterson, COO of BluETT, and Codd AI for a practical discussion on how AI-powered analytics can bridge the gap between raw machine telemetry and business outcomes.
Centralizing data in Snowflake, Databricks, or BigQuery doesn't mean AI understands your business. Why AI needs a governed business context layer on top.
Every new AI app quietly rebuilds the same business definitions and guardrails. How semantic governance debt builds up, and why CDOs need one shared foundation.
How to build a governed business context foundation for trusted AI analytics: model the business, capture and certify business knowledge, and roll out a contextual semantic layer domain by domain.
Anthropic's look at self-service analytics with Claude shows trusted AI analytics needs a governed semantic foundation. Should enterprises build it themselves?
Enterprises deploy copilots and AI agents before building the foundation needed to trust them. Why trust must be engineered into a certified semantic layer.
As AI moves from assisting analysts to doing analytical work itself, data team roles, boundaries, and governance must be redesigned. Here is what changes.
Governed data and semantics solve only part of AI analytics trust. As AI plans multi-step analysis, teams must capture, refine, and reuse the reasoning itself.
Customers want answers, not sensor data. How an EV provider uses a contextual semantic layer and natural language analytics to turn telemetry into value.