Semantic Layer Summit 2026 Spotlights Business Context as Critical Infrastructure for Enterprise AI

With a record audience of 6,000+ data leaders, the event featuring Anthropic, Snowflake, OpenHands, ServiceNow, Carrefour, Databricks, and Chevron establishes the semantic layer as the definitive cure for enterprise AI truth.

BOSTON--(BUSINESS WIRE)--Today, the fifth annual Semantic Layer Summit concluded, with attendance by industry leaders from Anthropic, Snowflake, Databricks, ServiceNow, and AtScale, and presentations from leading AI and analytics innovators deploying semantic layers, like Blue Yonder, WPP, Chevron, Carrefour France, and Papa Johns.

Since its launch in 2022, Semantic Layer Summit has grown from an emerging category conversation into the industry’s leading forum for the future of semantic infrastructure. The semantic layer is now emerging as the foundation that allows AI systems to return trusted, governed, and explainable answers across agents, analytics, and cloud data platforms.

As enterprises move AI agents, copilots, and natural language analytics into production, they demand zero-hallucination, 100% accurate answers based on their corporate data, reliable token-cost optimization, and the freedom to choose any AI, analytics, and data compute fabric. Models can generate answers quickly, but without shared business definitions, governed metrics, access controls, and semantic logic, those answers can be technically plausible while still disconnected from the rules and context the business relies on.

“AI changes how people and systems interact with data, but it does not change what enterprises require from data,” said Dave Mariani, Co-founder and CTO of AtScale. They need 100% accurate answers. They need governed access. They need reusable business logic. They need models that reflect how the business actually works. And they need all of this without AI wasting millions to “guess” at the right answer. That is why the semantic layer matters more now, not less.”

Industry Leaders Define the Next Phase of Semantic Infrastructure

Semantic Layer Summit 2026 featured sessions spanning open semantic standards, production implementations, agentic AI, token cost and performance considerations, knowledge graphs, ontologies, and the evolving role of semantic infrastructure across major data platforms. Speakers included leaders from Anthropic, Accenture, WPP, Chevron, OpenHands, ServiceNow, SanjMo, Ontology Pipeline, Omni, Snowflake, Databricks, Warburg Pincus, Blue Yonder, Papa Johns, Carrefour France, Vodafone, TELUS, and Slickdeals.

Enterprise speakers showed how semantic layers are already being used in production to modernize analytics infrastructure and prepare for AI-powered consumption:

• Blue Yonder detailed its architectural shift from traditional BI to AI-ready data infrastructure.
• Carrefour France shared insights from its massive migration of 3,000 metrics and dimensions across 40 countries.
• TELUS explained its management of tens of thousands of performance counters across hundreds of thousands of network cells.
• Papa Johns showcased its use of AtScale to standardize metrics across complex franchise and corporate analytics environments.
• Vodafone Portugal described how migrating from legacy SSAS OLAP cubes to AtScale on BigQuery reduced refresh times from hours to minutes, eliminated egress costs, and simplified governance across financial reporting.

The event also highlighted the growing role of open semantic standards. Summit sessions examined how organizations can avoid semantic lock-in by building architectures that support new interfaces, preserve governance, scale across teams, and carry forward the dimensional, tabular, hierarchical, and time-based logic businesses have built over the years. The keynote framed these requirements as open, governed, multi-model, and composable.

Key Takeaways from Semantic Layer Summit 2026

The day’s discussions highlighted three considerations for enterprises moving AI into production:

• AI agents need more than access to data. They need a governed business context, including the definitions, calculations, hierarchies, and permissions that determine whether an answer can be trusted. Semantics and optimized computing is the path towards attaining 100% accuracy for enterprise AI and reducing token costs by orders of magnitude.
• Open semantics are now a strategic requirement. Enterprises want semantic logic that can move across clouds, BI tools, AI models, and applications without locking business meaning into a single platform.
• Metadata alone is not enough. The market is shifting from systems that describe data to semantic infrastructure that governs, computes, and delivers business context wherever decisions are made.

“AtScale created the Semantic Layer Summit to advance the category and bring the right voices into the same conversation,” Mariani added. “This year made clear that the semantic layer has graduated from a technical architecture topic to a strategic boardroom requirement. The companies that solve context first are the ones that will put AI into production with confidence.”

For more information on the event, read this blog post.
All Semantic Layer Summit 2026 sessions will be available on demand at www.atscale.com.

About Semantic Layer Summit

Semantic Layer Summit is a virtual industry event dedicated to the role of semantics, business context, and governed metrics in modern data and AI architecture. Hosted by AtScale, the Summit brings together enterprise practitioners, platform leaders, standards contributors, AI experts, analysts, and data leaders to explore how organizations are building trusted, scalable, and AI-ready analytics foundations.

About AtScale

AtScale provides the Universal Semantic Layer, the foundation for governed enterprise AI and analytics. By creating a single, consistent source of business truth, AtScale helps organizations deliver trusted data to AI agents, BI tools, spreadsheets, and applications at scale. Following a strategic investment from Snowflake Ventures, AtScale is helping enterprises bridge the gap between raw cloud data and trusted, speed-of-thought decision-making. For more information, visit www.atscale.com.