Eighteen months ago, Blue Yonder’s analytics engineering team made a decision most data organizations haven’t made yet: they stopped being a BI team. They saw what was coming. AI agents don’t just need access to…
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…
Imagine if every time you created a document in Microsoft Word you couldn’t read it anywhere else. Not as an email, PDF, or Google Doc. Any time you wanted to collaborate with a new team…
Every enterprise AI conversation eventually runs into the same wall. Someone pulls up the output from an agent or a natural language query, and someone else in the room says, “That number doesn’t look right.”…
Why not just give the agent a skill? A bunch of people asked this at this week’s Databricks Data + AI Summit . Write down what “revenue” means, drop the skill next to your data,…
AtScale’s Dave Mariani and Snowflake’s Carl Perry on why governed semantics, not a smarter LLM, is what makes AI agents trustworthy. For years, business intelligence ran on a human workaround. When two reports disagreed about…
Anthropic’s data science and engineering team runs its internal analytics on Claude, and this week, they published the accuracy figures . Without a semantic layer , the answers were right 21% of the time. With…
Inside a Tier 1 bank’s $9-million-a-year AI rediscovery tax, and the architectural fix that cut compute costs by as much as 21,903x. Every time an analyst at a Tier 1 bank asks, “What was revenue…
Chris Lynch has been saying the same thing for years. The market just caught up. For years, I’ve been a board member of AtScale, and Chris Lynch said the same thing with each meeting: AI…
Five queries. $17.93 with an unguided LLM. Less than a tenth of a cent with a semantic layer . That 21,000x cost gap, measured by the commercial banking division of a Tier 1 multinational bank,…