Updated October 7, 2025
From Models to Meaning: Why Semantic Layers Are the Foundation of Enterprise GenAI SuccessEnterprise GenAI deployment is accelerating rapidly, with organizations rushing to implement AI copilots, natural language query interfaces, and agentic AI systems across their business workflows. But here's the hard truth that I'm seeing emerge from early implementations across our customer…
Updated October 2, 2025
Composable Models: Why Composability is the Future of the Semantic LayerThe 2025 GigaOm Semantic Layer Radar Report recognized AtScale as the Leader and Fast Mover for our innovations in composable modeling, open semantics, and AI readiness. Composable models treat every metric and dimension as modular, reusable components. This architecture eliminates…
Updated September 30, 2025
The CFO’s Guide to Data Modernization: Cost Control in the Cloud EraThe CFO's Evolving Role in Data Strategy If you're a CFO managing cloud data costs, you've likely noticed your monthly bills looking less like predictable line items and more like volatile stock charts. Welcome to the new reality of data…
Updated September 29, 2025
Building Trust in Conversational BI: How Semantic Layers Enable Reliable Natural Language QueryThe promise of GenAI-powered analytics is compelling: business users ask questions in natural language and receive accurate insights instantly. However, a critical trust issue is emerging as organizations rush to implement "ask-your-data" experiences—how do you ensure these conversational BI systems…
Updated September 25, 2025
AtScale Named Leader and Fast Mover in the 2025 GigaOm Radar for Semantic LayersI’m excited to share that AtScale has once again been recognized as both a Leader and Fast Mover in the 2025 GigaOm Radar Report for Semantic Layers and Metric Stores. This marks the third consecutive year AtScale has been placed…
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…
