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/ 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

/ 5 MIN READ

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…

Posted By: Jay Schuren

/ 6 MIN READ

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…

Posted By: Dave Mariani

/ 6 MIN READ

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…

Posted By: Dave Mariani

/ 2 MIN READ

Welcoming Luis Maldonado as Chief Product Officer

We’re excited to share that Luis Maldonado has joined AtScale as our new Chief Product Officer. Luis will lead AtScale’s global product strategy, roadmap, and execution as we scale our AI-ready semantic layer platform .…

Posted By: AtScale

/ 2 MIN READ

Welcoming Amy Miller as Vice President of Customer Success

We’re excited to share that Amy Miller has joined AtScale as our new Vice President of Customer Success. Amy will lead AtScale’s global customer success organization, with a focus on driving customer adoption, operational excellence,…

Posted By: AtScale

/ 7 MIN READ

Why Most Enterprise AI Projects Fail (and How to Make Them Work at Scale)

Most enterprise AI projects follow a familiar pattern. Successful demos lead to promising pilots. Executives commit budgets to scale the initiative across departments. Then the wheels come off. Despite $30-40B in enterprise investment in GenAI…

Posted By: Dave Mariani