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/ 4 MIN READ

Data & Analytics Predictions for 2026

As 2025 comes to a close, one thing is clear: the experimentation phase of GenAI in data and analytics is ending. In its place, enterprises are entering a more pragmatic era focused on trust, governance,…

Posted By: Dave Mariani

/ 6 MIN READ

The Hidden Cost of Semantic Drift in Enterprise AI

Three teams ask the same question: “What was our gross margin last quarter?” Finance’s dashboard shows it’s 30%. Sales’ margin reports show 32%. The AI copilot reports 31%. Which one’s correct? Technically, all of them.…

Posted By: Dave Mariani

/ 4 MIN READ

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…

Posted By: Dave Mariani

/ 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

/ 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

/ 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