Why Enterprise AI Keeps Failing, and It’s Not the Model’s Fault

Enterprise leaders have spent two years and hundreds of billions of dollars on AI. The results have been uneven. According to McKinsey’s 2024 global survey, fewer than one in three companies report that their AI investments have generated meaningful, sustained business value. The demos tend to impress, and production tends to disappoint. The diagnosis offered…

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Spec-Driven Development: The Key to Protecting AI-Generated Data Products

The most dangerous data problems don’t trigger alerts or cause catastrophic failures. They look fine on the surface until the business realizes the damage they’ve done. AI-assisted development has increased in popularity, however, and this approach is only making the problem worse. Consider a dashboard built for workforce capacity planning. The person building the tool…

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ThoughtSpot Pushes Upstream With Agentic Data Preparation

Agentic analytics platform ThoughtSpot launched its next generation of Analyst Studio, which it claims offers a “new suite of capabilities to revolutionize how data teams deliver AI-ready data with speed, flexibility and control.” The analytics market has spent the last decade obsessing over usability. They wanted faster dashboards and queries, while keeping the interface easy…

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