If your organization has invested in AI and isn’t seeing returns, the problem probably isn’t the LLM. It’s the foundation underneath it.
The enterprises getting AI into production built semantic infrastructure first: consistent business definitions, governed metrics, and shared context that every agent, analyst, and workflow answers from the same way.
They gave AI business context before asking it to make business decisions. In return, they get AI outputs that hold up in a CFO review and agentic workflows that scale without having to rip out the architecture every six months.
Semantic Layer Summit 2026 is for the CDOs, VPs of Data, analytics engineering leaders, and enterprise architects who are responsible for closing that context gap. If you’re past the pilot stage and wrestling with what production actually requires and delivering measurable business outcomes from your AI investment, this free, virtual summit is for you.
If you’re still not sold, here are the top five reasons to attend.
1. These teams already put AI into production.
Carrefour France didn’t run a pilot. They migrated 3,000+ KPIs and 1,000 power users onto a universal semantic layer on Day 1, then used that same foundation to put conversational AI agents into production for Finance and Merchandising. Blue Yonder rebuilt 800+ tables into a governed dimensional model, wired it to AI tools via MCP, and watched a multi-day analyst workflow collapse into a single query. TELUS, Vodafone, and SlickDeals round out the production story.
These sessions are architectural post-mortems from teams that have already made the right architectural bets.
2. The hardest question in agentic AI gets a direct answer.
Why do enterprise AI pilots succeed and production rollouts stall? The panel on Agentic AI features practitioners from Accenture, Anthropic, Nvidia, WPP, Chevron, and OpenHands getting to the heart of that question. They’ll get to the specifics about the gap between accessing raw data and working with trustworthy business context. No demos. Just a direct conversation about the infrastructure decisions that determine whether agentic AI scales or gets quietly shelved.
If your agents are technically functional but operationally unreliable, this is the session to catch live.
3. The open semantics debate is happening here.
Where are open standards and the Open Semantic Interchange (OSI) actually headed, and who gets to decide? Dave Mariani, Josh Klahr from Snowflake, Ken Wong from Databricks, Jamie Davidson from Omni, and industry analyst Mark Palmer are all in the same room for a reason. OSI and the Future of Open Semantics panel puts the people building these standards in direct conversation about what enterprise AI portability actually requires.
Gartner said it plainly: universal semantic layers will be treated as critical infrastructure by 2030, alongside data platforms and cybersecurity. The people who will shape what that infrastructure looks like are speaking on May 20.
4. The knowledge graph confusion ends here.
Semantic layers, knowledge graphs, ontologies — these terms are used interchangeably, incorrectly, and constantly. Juan Sequeda from ServiceNow, Sanjeev Mohan of SanjMo, and Jessica Talisman from Ontology Pipeline will draw the distinctions that actually matter for AI architecture. If you’ve sat in meetings where these concepts blur together and the conversation stalls, this session will fix that.
5. You’ll leave knowing which architectural bet to make.
Each session at Semantic Layer Summit is structured around a key decision point. Whether your team is assessing open standards, semantic infrastructure, or governance controls, you’ll walk away with deep insights to help your organization build trustworthy AI.
By the end of the day, you’ll have a clearer view of which architectural bets are worth placing now and what the enterprises that are getting this right actually did differently.
The organizations that will lead in AI-driven analytics aren’t waiting for AI to mature. They’re building the semantic foundation now that gives AI trusted business context.
Register here to save your spot: https://www.semanticlayersummit.com/
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Guide: How to Choose a Semantic Layer