Data Governance & Trust Archives

March 26, 2026 / 12 MIN READ

AI Agents Are Transforming Compliance: Opportunities and Risks for Enterprise Data

Autonomous AI agents , which are systems designed to accomplish tasks and goals independently without human oversight, have become integral across a wide range of use cases, spanning from customer service to supply chain management.…

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March 12, 2026 / 8 MIN READ

Hits and Misses from Gartner Data & Analytics Summit 2026

Gartner opened the Data & Analytics Summit 2026 with a memorable metaphor. The keynote framed the current moment as a raft ride through a roaring, treacherous river. The river represented AI . Fast-moving. Powerful. Difficult…

Posted By: Dave Mariani

March 11, 2026 / 7 MIN READ

AI Can't Run on Untrusted Data: Why Agentic Analytics Requires Live Semantic Connectivity

A logistics company deploys an AI agent to monitor inventory and automatically trigger reorders. The model is solid. The prompts are well-engineered. The agent connects to their analytics environment and starts running. Three weeks in,…

Posted By: Dave Mariani

March 5, 2026 / 6 MIN READ

Autonomous AI Without a Semantic Layer Is Just Expensive Guessing

I’ve been in the BI and data space long enough to recognize when something fundamental shifts. Denny Lee and I first worked together when he was at Microsoft on SQL Server Analysis Services (SSAS) ,…

Posted By: Dave Mariani

February 25, 2026 / 5 MIN READ

Headless AI Agents Are Already Here and They’re Where the ROI Is

Most enterprise AI conversations still center on prompts, whether through chat interfaces, copilots, or question-answer workflows. But the highest-value AI agents don’t wait for someone to ask a question. They monitor signals, detect thresholds, and…

Posted By: Dave Mariani

February 10, 2026 / 9 MIN READ

AI Governance Isn't Theoretical Anymore: What Enterprise Leaders Are Actually Asking

AI governance discussions used to center on frameworks and theoretical risk scenarios. This month’s TDWI webinar with Cal Al-Dhubaib, head of AI and data science at Further, revealed the many ways in which theory has…

Posted By: Dave Mariani

January 28, 2026 / 0 MIN READ

AI Needs Context: Semantic Layers, Metadata & Trust in 2026

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June 17, 2026 / 5 MIN READ

It's Got to Be the Semantic Layer, Baby

AtScale’s Dave Mariani and Snowflake’s Carl Perry on why governed semantics, not a smarter LLM, is what makes AI agents trustworthy. For years, business intelligence ran on a human workaround. When two reports disagreed about…

Posted By: Mark Palmer

September 29, 2026 / 4 MIN READ

Microsoft’s About-Face on Semantic Layer Standards

When Snowflake launched the Open Semantic Interchange in September 2025, dozens of companies signed on. Microsoft wasn’t one of them. Power BI’s semantic models stayed in DAX, built for Power BI, while the rest of…

Posted By: Chris Lynch

August 20, 2026 / 5 MIN READ

The Multi-Cloud Metrics Problem Snowflake, Databricks, and BigQuery Can't Solve Alone

Enterprises running Snowflake, Databricks, and BigQuery side by side no longer struggle with data movement. Data pipeline tools solved that years ago. Now they have a metrics problem: the same “gross margin” or “active users”…

Posted By: Sarah Mulcahy

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AI Agents Are Transforming Compliance: Opportunities and Risks for Enterprise Data

Hits and Misses from Gartner Data & Analytics Summit 2026

AI Can't Run on Untrusted Data: Why Agentic Analytics Requires Live Semantic Connectivity

Autonomous AI Without a Semantic Layer Is Just Expensive Guessing

Headless AI Agents Are Already Here and They’re Where the ROI Is

AI Governance Isn't Theoretical Anymore: What Enterprise Leaders Are Actually Asking

AI Needs Context: Semantic Layers, Metadata & Trust in 2026

It's Got to Be the Semantic Layer, Baby

Microsoft’s About-Face on Semantic Layer Standards

The Multi-Cloud Metrics Problem Snowflake, Databricks, and BigQuery Can't Solve Alone