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Inside the AtScale and Snowflake Partnership: Why Snowflake Embedded AtScale in Semantic Views
The 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…
Don’t Let Microsoft Be Your Warden
Microsoft 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…
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…
10 Things We Learned at the 2026 Semantic Layer Summit
Most 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…
The Fifth Semantic Layer Summit Is the Strategic Pivot Point for Leaders Betting Their Enterprise on AI
One 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…
Inside the Trillion-Dollar AI Problem: Context and Compute
Snowflake, 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…
5 Reasons Enterprise AI Leaders Should Attend Semantic Layer Summit 2026
If 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…
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…
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…