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The Latest Thinking On AI In Analytics, Straight From Momenta Analytics Thought Leadership HQ
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6 articles
Your AI agent has a dictionary. It doesn't have a childhood.
SAM from Star Trek Academy is every 'Talk to Your Data' agent being promised to the enterprise. And the trauma is the decades of ugly, uncleaned, undocumented data warehouses we're forcing them to process without experience.
Three Platforms One Prerequisite: What It Actually Takes to Fill a Semantic Layer
Snowflake, Databricks, and Microsoft all announced AI agent products that depend on governed business definitions in a semantic layer. We wrote up what it actually takes to populate and maintain the semantic layers they depend on.
The Most Important Documentation Your Analysts Ever Wrote Wasn't in Confluence
It was in their WHERE clauses — the business rules buried inside every SQL query your team has ever run. They just didn't know they were writing it.
Why AI Needs Infrastructure, Not Just Intelligence
Every major tech platform is racing to own your enterprise context—because that's where AI becomes most valuable. This macro-trend, known as Context Engineering, confirms that in the age of AI, contex
Why Analytics Needs Its Netflix Moment
Netflix didn't win because it had more movies. It won because it labeled them.
Trust doesn't only break through a data breach. Sometimes it breaks over something far smaller.
Two dashboards. One cohort. Two different counts.
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2 articles
Natural Language Analytics: Implementation Field Guide
A practical field guide for implementing Databricks Genie and Snowflake Cortex Analyst. What each platform actually requires, where they overlap, and what neither does for you.
Getting Started with Text-to-SQL You Can Actually Trust
Natural-language-to-SQL has the potential to reshape the landscape of data analytics.