Updated March 27, 2026

AI vs. BI: Differences, What Changed, and Why Semantics Became Critical

Enterprise analytics was never just about data. It was about trust and confidence, getting the right people the right information so they could make intelligent decisions and keep things moving forward. The BI stack was made for that purpose, and…

Posted by: AtScale

Updated March 17, 2026

Why Moving Data for BI and AI Creates Architecture Problems

In modern data architectures, analytics tools often replicate data from the warehouse into secondary systems to improve performance. While this can speed up dashboards, it introduces new problems: duplicated datasets, inconsistent metrics, fragmented governance, and rising cloud costs. Modern analytics…

Posted by: Dave Mariani

Updated January 13, 2026

The Rise of LLM Agents in Data Analytics

The analytics world is changing. We have moved from static reports to self-service dashboards to conversational business intelligence (BI). Now, we're in the early days of LLM agents that don’t just answer questions but take action. They write SQL. They…

Posted by: Dave Mariani
Guide: How to Choose a Semantic Layer
The Ultimate Guide to Choosing a Semantic Layer