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/ 7 MIN READ

From Governance to Guidance: The Next Phase of AI Readiness

AI Adoption Has Outpaced AI Readiness Every enterprise I talk to right now is chasing the same goal: operationalizing AI agents and agentic analytics . The enthusiasm is there. The budgets are there. The pilots…

Posted By: Cort Johnson

/ 5 MIN READ

The Rise of AI Analysts and the Infrastructure They Require

I’ve been building analytics software for more than two decades. I’ve watched waves of innovation promise to democratize analytics, including self-service BI , cloud warehouses, and natural language query systems. Each wave delivered value, but…

Posted By: Dave Mariani

/ 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

/ 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

/ 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