Updated March 12, 2026

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 to control. The message was clear.…

Posted by: Dave Mariani

Updated February 25, 2026

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 trigger actions. These are headless…

Posted by: Dave Mariani

Updated February 24, 2026

The Missing Pillar in Agentic AI: Why I Joined AtScale

Recently, while debating my next career chapter with a close friend, they highlighted something I had almost begun to take for granted: the most important work our civilization is doing right now is tied to the advancement of AI. It…

Posted by: Jay Schuren

Updated February 20, 2026

Why Agentic AI Fails Without a Semantic Layer

Many teams assume they’re doing agentic analytics because they support text-to-SQL or chat-based BI. And while conversational BI does change how questions are asked, it doesn’t go so far as to change how decisions are made. It’s like transitioning from…

Posted by: Dave Mariani

Updated February 17, 2026

The Hidden Costs of Letting People “Talk to Data” with AI

Conversational BI pilots succeed because they operate in constrained environments. A dozen users, curated datasets, predictable query patterns. When AI agents enter the picture, everything breaks. Gartner forecasts that more than 40% of agentic AI projects will be abandoned by…

Posted by: Dave Mariani

Updated January 29, 2026

Why Context Became the Most Critical Layer in Enterprise AI

I recently sat down with Juan Sequeda, Principal Researcher at ServiceNow and co-author of Designing and Building Enterprise Knowledge Graphs, to discuss what's happening in enterprise data and AI. Listen to the full podcast episode here. Juan brings a unique…

Posted by: Dave Mariani

Updated March 12, 2026

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 to control. The message was clear.…

Posted by: Dave Mariani

Updated February 25, 2026

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 trigger actions. These are headless…

Posted by: Dave Mariani

Updated February 24, 2026

The Missing Pillar in Agentic AI: Why I Joined AtScale

Recently, while debating my next career chapter with a close friend, they highlighted something I had almost begun to take for granted: the most important work our civilization is doing right now is tied to the advancement of AI. It…

Posted by: Jay Schuren

Updated February 20, 2026

Why Agentic AI Fails Without a Semantic Layer

Many teams assume they’re doing agentic analytics because they support text-to-SQL or chat-based BI. And while conversational BI does change how questions are asked, it doesn’t go so far as to change how decisions are made. It’s like transitioning from…

Posted by: Dave Mariani

Updated February 17, 2026

The Hidden Costs of Letting People “Talk to Data” with AI

Conversational BI pilots succeed because they operate in constrained environments. A dozen users, curated datasets, predictable query patterns. When AI agents enter the picture, everything breaks. Gartner forecasts that more than 40% of agentic AI projects will be abandoned by…

Posted by: Dave Mariani

Updated January 29, 2026

Why Context Became the Most Critical Layer in Enterprise AI

I recently sat down with Juan Sequeda, Principal Researcher at ServiceNow and co-author of Designing and Building Enterprise Knowledge Graphs, to discuss what's happening in enterprise data and AI. Listen to the full podcast episode here. Juan brings a unique…

Posted by: Dave Mariani
Guide: How to Choose a Semantic Layer
The Ultimate Guide to Choosing a Semantic Layer