data quality

Data Contracts: Hype, Reality, and Practical Value

Over the past few years, data contracts have surged in popularity—touted as the missing link between data producers and consumers. Yet as with most trends in data architecture, hype often outpaces practical value. Let’s break down where data contracts truly shine, where they fall short, and how to think about them in the broader context of building scalable, trustworthy data platforms—and enabling effective data governance at scale. What Are Data Contracts, Really? At their core, data contracts …

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AI Is More Than Just Generative: A Strategic Primer for Executives

AI is dominating headlines, boardroom agendas, and vendor pitches. But most of the attention is focused on generative AI — tools like ChatGPT that can create text, summarize documents, or even write code. These tools are impressive. But they’re just one part of a much broader AI landscape. For years, companies have used AI to forecast demand, detect fraud, personalize marketing, and reduce churn. These traditional AI applications may not trend on social media, but …

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Why Structured Data and Data Quality Matter More Than AI Hype

The Temptation of the AI Silver Bullet AI is having its moment. Everywhere you look, companies are rushing to implement large language models (LLMs), AI agents, and other cutting-edge techniques in hopes of solving their data problems. It’s easy to get swept up in the hype—after all, who wouldn’t want an intelligent system that magically fixes business data challenges? But there’s a fundamental issue that gets overlooked in this excitement: garbage in, garbage out (GIGO). If your …

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