Updated June 23, 2026

Four AI Pillars and a Wide-Open Opportunity

I just got back from the Databricks Data & AI Summit, and I have a lot to unpack. This was the biggest DAIS yet, with 31,309 attendees, and the energy was unmistakable. More importantly, Databricks came in with a sharpened…

Posted by: Dave Mariani

Updated May 15, 2026

The Semantic Wars Are Here. Google, You’re Next.

Microsoft started a semantic war with Databricks. The next front is AI. Google customers need a semantic strategy to stay free on both. Microsoft just killed the connector that let Power BI read Databricks’ business metrics. This was the opening…

Posted by: Mark Palmer

Updated April 1, 2026

Not All Semantic Layers Are Built for AI

The semantic layer has moved from niche infrastructure to a boardroom priority. Snowflake announced one. Databricks announced one. Google repositioned Looker as one. Microsoft repositioned Power BI as one. This is genuinely good news. As ISG analyst Matt Aslett observed…

Posted by: Dave Mariani

Updated March 4, 2025

The Semantic Lakehouse for AI/BI

Kyle Hale, Lead Product Architect with Databricks, coined the term "Semantic Lakehouse" in a 2022 blog. The blog explained how to extend the Lakehouse offering to users at the “top of the stack” leveraging PowerBI. The following year, in a…

Posted by: Kieran O’Driscoll

Updated January 16, 2025

Open-Source Semantic Layer: Crucial for the Future of AI and BI

The fields of Artificial Intelligence (AI) and Business Intelligence (BI) are undergoing rapid transformation, driven by advancements in machine learning, large language models (LLMs), and data democratization. Amid this evolution, open-source semantics are emerging as a cornerstone for bridging the…

Posted by: Kieran O’Driscoll
Guide: How to Choose a Semantic Layer
The Ultimate Guide to Choosing a Semantic Layer