Updated September 23, 2025
5 Ways To Dramatically Improve Cortex Analyst Results In Your Snowflake EnvironmentAre you using Cortex Analyst in your Snowflake environment but falling short of the accurate, consistent results you expected? You’re not alone. While Cortex Analyst delivers powerful text-to-SQL capabilities, many organizations find it challenging to get reliable insights from natural…
Updated September 19, 2025
Where Should the Semantic Layer Live? Why the Answer is Open, Governed & UniversalRecently, Omni sparked a debate with a simple question on LinkedIn: “Where should the semantic layer live?” In the BI platform? In the data warehouse? In dbt? The LinkedIn thread that followed was filled with perspectives from data leaders, engineers,…
Updated September 18, 2025
Is Your Semantic Layer Ready for the Agentic AI Hype Curve?After 15 years helping enterprises unlock the value of their data investments, I've seen my share of technology hype cycles. But I'll be direct with you: the Agentic AI wave isn't just another trend, it's fundamentally reshaping how organizations think…
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…
Updated September 9, 2025
Why 95% of Generative AI Pilots Are Failing and How to Actually Fix ItThe Harsh Reality: AI Pilots Are Stalling MIT’s NANDA initiative recently published a study showing that “the 95% failure rate for enterprise AI solutions represents the clearest manifestation of the GenAI Divide.” For executives betting big on AI, that number…
Updated August 25, 2025
How Semantic Layers Transform Retail Analytics: From BI Tools to AI ChatbotsLast week, I had the privilege of demonstrating how AtScale's Universal Semantic Layer transforms retail analytics during our "Retail Analytics at Scale" Tech Talk alongside our CTO Dave Mariani. As someone who works closely with retail customers daily, I wanted…
Updated August 21, 2025
Retail Analytics Solutions: How to Eliminate Data Silos and Conflicting ReportsA Fortune 50 home improvement retailer with 2,200+ stores was drowning in data chaos. Finance reported one margin number. Store operations had another. Marketing's revenue figures never matched either department. The reconciliation process? A grueling 2-3 weeks of manual Excel…
Updated August 5, 2025
Addressing the Week 53 Retail Calendar Challenge: A Flexible, Tool-Agnostic Approach with AtScaleRetail organizations rely on specialized calendars, such as the "4-4-5" week and similar flavors, to capture the annual and weekly activity driven by holiday and day-of-week purchasing cycles. Organizing Quarters into standardized Months consisting of 4-4-5 weeks makes year-over-year and…
Updated July 14, 2025
Future-Proofing Enterprise AI: Why AtScale’s MCP Integration Is a Game-Changer for the Semantic LayerAt AtScale, we’ve always believed that the semantic layer is the cornerstone of enterprise data strategy. It brings consistency, governance, and business context to analytics. But as generative AI enters the enterprise at full speed, the stakes and the opportunities…
Updated July 10, 2025
Unlocking Agile Analytics with Composable Semantic Models from AtScaleIn today's fast-paced world, companies must utilize data to make informed decisions. However, with so much data coming from various sources, company records, sales systems, cloud storage, and live data feeds, it's challenging to maintain everything in a neat, consistent,…
