Updated July 29, 2026
Inside the AtScale and Snowflake Partnership: Why Snowflake Embedded AtScale in Semantic ViewsThe Snowflake Semantic Views XMLA Endpoint, powered by AtScale, is an integrated product offering. It’s the only semantic solution to have this distinction. It’s not something bolted on the side of Snowflake; it’s the bet Snowflake made on AtScale. The…
Updated July 23, 2026
Don’t Let Microsoft Be Your WardenMicrosoft just made the case for AtScale by playing Warden Norton, the prison boss from "The Shawshank Redemption." On Tuesday, Sara Vredevoogd from Microsoft's Power BI team announced that Microsoft 365 Copilot can now query Power BI semantic models directly.…
Updated June 1, 2026
The Real Cost of Data Architecture Technical Debt (And How It Spreads Across Your Business)The cost of "good enough" data architecture won't hit your business all at once. That's what makes it so insidious. When Brian Jones, Senior Director of Data Services at Papa Johns, joined the company, he inherited exactly this kind of…
Updated May 22, 2026
10 Things We Learned at the 2026 Semantic Layer SummitMost enterprise AI governance conversations start with LLMs. But when an AI agent returns a wrong answer, the failure usually traces back to a much simpler problem: the business logic behind the answer was never defined in a place the…
Updated May 21, 2026
The Fifth Semantic Layer Summit Is the Strategic Pivot Point for Leaders Betting Their Enterprise on AIOne day with the platforms, the standard-bearers, and the enterprise architects deciding the next decade of enterprise data architecture. May 20, 2026. The semantic layer has escalated from technical curiosity to strategic imperative. At the first Semantic Layer Summit in…
Updated May 7, 2026
Inside the Trillion-Dollar AI Problem: Context and ComputeSnowflake, Tableau, and BlackRock named the symptom. Jeremy Arendt at Blue Yonder is showing operators what it actually costs. Jeremy Arendt runs analytics engineering at Blue Yonder, the supply chain platform behind a meaningful slice of the world's trucks, warehouses,…
Updated April 23, 2026
5 Reasons Enterprise AI Leaders Should Attend Semantic Layer Summit 2026If your organization has invested in AI and isn’t seeing returns, the problem probably isn’t the LLM. It’s the foundation underneath it. The enterprises getting AI into production built semantic infrastructure first: consistent business definitions, governed metrics, and shared context…
Updated July 29, 2026
AI vs. BI: Differences, What Changed, and Why Semantics Became CriticalEnterprise 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…
Updated March 17, 2026
Why Moving Data for BI and AI Creates Architecture ProblemsIn 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…
Updated September 10, 2025
From Queries to Agents: The Evolution of Conversational BI in the GenAI EraI’ve been building in the business intelligence (BI) space for over two decades. I’ve seen the rise of self-service BI, the transition to cloud-native analytics, and the promise of augmented insights. Each wave brought new tools, new opportunities, and plenty…
