Blog

Updated April 28, 2026

What I saw from the board, and why it matters if you’re betting your career on AI. When I joined AtScale’s board, I saw what looked like a best-in-class semantic layer: a way to make analytics faster, more consistent, and…

Updated April 27, 2026

Google Cloud Next 2026 wrapped up this week at Mandalay Bay, and I’ve got thoughts. Some of them are even about the announcements. But let’s start with the elephant, or rather, the 40,000 people crammed into a venue built for…

Updated April 24, 2026

Executive Summary (The TL;DR) The Bottom Line: Agentic AI in manufacturing promises autonomous optimization, but without a Semantic Layer, it functions as a "high-speed hallucination engine." For a Tier 1 manufacturer, the lack of governed context results in an average…

Updated April 23, 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 definitions, governed metrics, and shared context…

Updated April 16, 2026

Retailers that deploy autonomous AI without governed business context will not discover the problem in a report. They will discover it in a fulfillment failure, a margin error, or a pricing decision that made sense to the agent but not…

Updated April 9, 2026

AI is shifting the center of gravity in data architecture from raw data to a governed business context. The last decade of data architecture was shaped by data gravity. The next decade will be shaped by context gravity. The cloud…

Updated April 6, 2026

As AI agents move beyond the helpful copilot phase and into more powerful applications, enterprises are responding with global adoption. Agentic AI is everywhere, from analytics and finance to customer service and operations. It's changing how organizations go from asking…

Updated April 1, 2026

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…

Updated March 30, 2026

Over the past year alone, AI tools that once surfaced insights and handed them to a human for action have begun carrying out those actions themselves. Sixty-two percent of organizations are now experimenting with AI agents, according to McKinsey's latest…

Updated March 27, 2026

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…