Blog
OSI & The Future of Open Semantics: Building the Foundation for AI-Native Analytics
Semantic fragmentation happens when business logic is embedded differently across platforms, BI tools, and AI systems. It’s one of the most underestimated blockers to reliable enterprise AI. The Open Semantic Interchange (OSI) addresses this directly: an open source, vendor-agnostic specification for how semantic metadata is defined and shared across the stack. With the specification finalized…
Agentic AI: Why Internal Context Matters
The gap between a successful AI pilot and a production system isn't a model problem. It's a context problem. Practitioners from WPP, Chevron, Anthropic, Accenture, and OpenHands discuss what breaks when agentic AI meets real enterprise data. Learn how semantic consistency, deterministic logic, and shared business context are creating the foundation for durable data architectures.
How Enterprises Modernize Analytics with a Semantic Layer: Customer Stories from Vodafone Portugal, Slickdeals, and TELUS
What does a semantic layer look like in production across three different enterprises? Slickdeals scaled analytics across finance, product, operations, and sales, serving consistent metrics into both Tableau and Excel without sacrificing domain relevance. TELUS built a centralized semantic layer using SML as the authoritative repository for KPIs, powering everything from executive reporting to engineering…
Scale at Speed: How Carrefour France Migrated 3,000 KPIs to a Universal Semantic Layer and Agentic AI
Carrefour France bypassed the traditional pilot phase, migrating its full enterprise scope of 3,000 KPIs and 1,000 users to a universal semantic layer on BigQuery. By focusing on query-cost optimization and co-developing a custom Google Sheets connector, they matched the efficiency of legacy systems while gaining modern flexibility. This session explores the technical rigour behind…
From BI to AI: How Blue Yonder Built an AI-Ready Semantic Foundation
18 months ago, the Global BI team at Blue Yonder made a critical decision: they would no longer be a BI team. They consolidated their analytics organization under a single data infrastructure charter, are rebuilding 800+ tables into a governed dimensional semantic layer powered by AtScale, and are wiring that semantic layer into AI tools…
Knowledge Graphs vs Ontologies vs Semantic Layers
The terms overlap, but the architectures don't. Juan Sequeda, Sanjeev Mohan, and Jessica Talisman join Dave Mariani to untangle knowledge graphs, ontologies, and semantic layers. Learn why getting the distinction right is foundational to AI that actually reasons correctly over enterprise data.