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.
November 3, 2025
The Golden Age of the Semantic Layer: Why AI Can’t Work Without ContextFor years, the semantic layer quietly sat behind the scenes of enterprise data systems, translating complex data models into the business logic that made them meaningful. It was a critical component for BI teams but was rarely viewed as a…
October 21, 2025
7 Modern Data Architecture PrinciplesModern data architecture serves as the blueprint for scalable, AI-ready, governed analytics that empower organizations to effectively harness their data assets. For executives, data leaders, engineers, and governance teams, understanding these foundational principles is critical for building systems that deliver…
October 16, 2025
Scaling AI Without Breaking the Bank: Why Semantic Layers Drive Performance and Cost EfficiencyI’ve been building data systems long enough to see the same problem repeat itself. Each wave of analytics promises speed and simplicity. Self-service BI promised freedom from IT. Cloud warehouses promised infinite scale. Now GenAI promises conversational, real-time access to…
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…
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…
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…
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 Enterprise Generative AI Pilots Fail & How to Fix the Failure RateThe 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…