The AI Trust Gap: Why AI Performance Requires Control

For the past few years, the corporate world has been locked in an AI race. Every company is trying to move faster, invest more and keep up with the pace set by Big Tech. But speed isn’t the only challenge. We’ve reached a point where capital investment is outpacing organizational confidence. A new survey from Collibra,…

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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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Context, Not Models, Is The Real AI Bottleneck: Reltio’s System‑Of‑Context Bet

AI took center stage at Reltio DataDriven 2026, where global data and AI leaders aligned on one urgent priority: turning trusted, real-time, contextual data into scalable AI and measurable business impact. Reltio made a clear strategic bet: The next enterprise AI bottleneck isn’t model choice or orchestration but shared context — rebranding its platform around…

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Beyond the Hype: 5 Surprising Realities of Enterprise AI

The AI fatigue that defined the late 2023 and 2024 business cycles was, in hindsight, a necessary correction. During that period, many organizations found themselves trapped in what industry observers called “pilot purgatory.” Millions were poured into experimental generative AI pilots, comprised mostly of chatbots designed to summarize meetings or draft internal emails. While these…

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Pure Storage Rebrands as Everpure, Expands Into Data Management with 1touch Acquisition

Pure Storage made a two-part announcement this week: it is rebranding as Everpure and acquiring data management startup 1touch. This is a signal that storage vendors are racing into data management. One reason for this is that AI has shifted value from raw capacity to control over how data is activated. Owning the data layers…

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The Enterprise AI Postmortem Playbook: Diagnosing Failures at the Data Layer

When an enterprise agent gives an incorrect or illogical output, most people assume it’s a problem with the model, or the prompt wasn’t clear enough. In some cases, they might just blame the data platform vendor. Too technical. Too complicated. However, what if the model did exactly what it was told and there was nothing…

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Context Engineering Will Decide Enterprise AI Success, Says Cognizant CIO Neal Ramasamy

Artificial intelligence dominated discussions at Davos this year, but inside enterprises the conversation has shifted from excitement to execution. Organizations are moving quickly to deploy agents and automation. However, many are discovering that technology alone does not guarantee operational value.  Against that backdrop, Neal Ramasamy, Chief Information Officer at Cognizant, shared his perspective with BigDATAwire…

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New Study Shows How to Close the AI Readiness Gap With Trusted Data and Talent

A recent report from Precisely highlights an interesting paradox: 87% of organizations believe they are ready for AI, yet at the same time, 40% of the leaders reported that data, skills, and infrastructure remain the biggest obstacles. Precisely’s fourth annual State of Data Integrity and AI Readiness report reveals a growing disconnect in how organizations…

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