Dave is the founder of AtScale and is the Chief Technology Officer. Prior to AtScale, he was VP of Engineering at Klout & at Yahoo! where he built the world’s largest multi-dimensional cube for BI on Hadoop. Mariani is a Big Data visionary & serial entrepreneur.
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,…
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…
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…
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…
Enterprises have spent years codifying trusted business logic in their Power BI semantic models, reports, and dashboards. These models represent thousands of hours of work from data teams and business analysts to define the KPIs, calculations, and relationships that guide…
The business intelligence landscape has a fundamental interoperability problem. Organizations using Power BI, Tableau, Looker, Microstrategy, and Cognos often struggle with semantic silos that block the adoption of AI-driven analytics, natural language query (NLQ), and BI investments. Today, we're launching…
July 22, 2025
The Future Is Open: Why Open Semantics Matter More Than EverWhen we launched AtScale over a decade ago, the idea of a universal semantic layer was ahead of its time. Today, it’s no longer a vision, and it’s the foundation for modern analytics and enterprise AI. At the 2025 Semantic…
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…
June 26, 2025
Why Enterprise AI Agents Need a Semantic Layer: A Reflection on Where the Industry Is Headed and How AtScale Has Been Leading All AlongIf it feels like everyone is suddenly talking about agentic AI, you're not wrong. In just the past few months, some of the biggest names in data have signaled a shift in how we think about analytics, automation, and intelligence:…
June 17, 2025
Why Dashboards Alone Can’t Support Modern AnalyticsThe “death of the dashboard” may sound like an overstatement, but it reflects a real shift in enterprise analytics. Static dashboards are no longer enough to meet the needs of modern data consumers. In Eric Porres’ recent article, The Death…
June 12, 2025
What I Learned at Snowflake Summit 2025: AI Momentum, Cortex Insights, and the Truth About Semantic ViewsI’ve been attending Snowflake Summits for years, and this year’s event was the most forward-looking I’ve seen. If you’re building for the future of data and AI, the 2025 Snowflake Summit felt like a line in the sand. AI is…
June 10, 2025
Why Every Data-Driven Organization Needs a Semantic Layer StrategyThe modern enterprise is navigating two seismic shifts at once: the rise of generative AI (GenAI) and the demand for truly governed, real-time analytics. At the center of both transformations is a concept that, until recently, was overlooked by many:…