Revolutionizing Data: New Research on Natural Language Prompting with AtScale’s Semantic Layer and Generative AI

Business intelligence has always been good at telling you what happened. It's never been great at telling you what to do about it. In this episode, AtScale's CEO and co-founder Dave Mariani sits down with Donald Farmer, Principal of Treehive Strategy, to talk about why AI is finally closing that gap. You'll get Donald's take on: How AI will start to take over the exploratory, discovery side of analyticsWhy "revenue" means something different to marketing, sales, and finance , and why se...

What happens when enterprise AI meets inconsistent metrics, fragmented dashboards, and conflicting business logic? In this episode of the Data-Driven Podcast, AtScale CTO and co-founder Dave Mariani sits down with Brad Lindsey and Jeremy Arendt from Blue Yonder to discuss how Blue Yonder transformed its analytics strategy from disconnected dashboards into a governed semantic layer foundation for AI and enterprise analytics. The conversation explores why semantic layers have become critical in...

What does enterprise AI actually need to succeed: more data access or better context? In this episode of the Data-Driven Podcast, AtScale CTO Dave Mariani sits down with Coginiti CTO Matthew Mullins to unpack one of the most important debates in modern data architecture: access vs. understanding. The conversation explores the rise of the semantic layer, the role of open semantics, and why initiatives like the Open Semantic Interchange (OSI) matter for the future of AI and analytics. Matthew s...

In this episode of the AtScale Data-Driven Podcast, Dave Mariani sits down with Juan Sequeda, Principal Researcher at ServiceNow and former Head of the AI Lab at data.world, to explore what’s next for analytics, AI, and trust in 2026. As AI becomes embedded across the enterprise, one issue is emerging as a hard blocker: lack of context. Large Language Models are powerful, but without semantic layers, governed metadata, and shared business definitions, they struggle to produce reliable, explai...

Large Language Models (LLMs) are transforming analytics, but only when paired with the right foundation. In this episode, AtScale’s CTO and co-founder Dave Mariani, co-founder Dianne Wood, and product director Petar Staykov show how Model Context Protocol (MCP) and the semantic layer unlock trusted, governed, enterprise-ready AI. You’ll get a full end-to-end walkthrough of Claude using AtScale’s MCP server to: Discover available semantic models via list-models tools Understand metrics, a...