Blog
Four AI Pillars and a Wide-Open Opportunity
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…
Your AI Isn't Expensive. It's Guessing.
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…
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…
How a Semantic Engine Reduces AI Query Costs Without Sacrificing Performance
Real-time AI analytics feels like the future: instant insights, natural conversation, decisions without delay. But behind the scenes, that future comes with a big catch: every AI query costs money, and those costs compound fast.…
Why Is Power BI Slow with Snowflake? How to Fix Common Performance Problems
If your Power BI dashboards feel more like a waiting game than a real-time tool, you’re not alone. Many teams struggle with sluggish performance when connecting Power BI to Snowflake. Dashboards that should load in…
Evaluating a Semantic Layer: How Technical Teams Drive ROI Through Smart Data Infrastructure
Picking Up From Part 1: Why Technical Evaluation Matters After realizing a semantic layer could solve PrecisionWorks’ biggest data headaches, Alex, a data engineer, moves on to a critical step: evaluating vendors. (Missed the beginning?…
How a Typical Power BI Customer Can Save Millions in Annual Costs
The Rising Cost Challenge for Power BI Customers Organizations across industries rely on Power BI to drive business intelligence and inform strategic decisions. However, as data volumes increase, so do the associated costs. Businesses often…
Breaking Data Silos with Cross-Cloud Federation and Semantic Layers: Key Takeaways from the TDWI Expert Panel
A cross-cloud semantic layer gives you one consistent, governed view of your data no matter which cloud warehouses or lakehouses it lives in, so you don’t have to duplicate metrics logic across Snowflake, Databricks, BigQuery,…