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/ 4 MIN READ

5 Reasons Enterprise AI Leaders Should Attend Semantic Layer Summit 2026

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…

Posted By: Sarah Mulcahy

/ 6 MIN READ

Why Retail AI Agents Need Business Context for Autonomous Commerce

Retailers that deploy autonomous AI without governed business context will not discover the problem in a report. They will discover it in a fulfillment failure, a margin error, or a pricing decision that made sense…

Posted By: Dave Mariani

/ 16 MIN READ

Best Data Governance Tools for Enterprises: 2026 Guide

For years, data governance was viewed as a background concern. Teams had bigger priorities to tackle and more pertinent problems to solve. Then AI agents came into the fold and started generating business decisions from…

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/ 7 MIN READ

BI Tools Keep Trying to Own Your Semantic Layer

Every decade, someone reinvents the BI-embedded model. Every decade, customers end up migrating off it. The semantic layer is the context layer for AI, and putting it inside one BI tool was the original sin.…

Posted By: Dave Mariani

/ 6 MIN READ

Not All Semantic Layers Are Built for AI

The semantic layer has moved from niche infrastructure to a boardroom priority. Snowflake announced one. Databricks announced one. Google repositioned Looker as one. Microsoft repositioned Power BI as one. This is genuinely good news. As…

Posted By: Dave Mariani

/ 12 MIN READ

Why AI Agent Governance is the Latest Priority for Enterprises

Over the past year alone, AI tools that once surfaced insights and handed them to a human for action have begun carrying out those actions themselves. Sixty-two percent of organizations are now experimenting with AI…

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