Data quality

At agricultural wholesaler Kramp, analytics engineers shifted from a human-first to an AI-first strategy in just nine months. A task that previously took three ...

1,000 invalid records may matter less than one criticalerror

Why metadata and data definitions are the silent dealbreakers of data-driven working. Data-driven working often gets bogged down by culture, ownership, and ...

Standards always sound like a great idea. One language. One structure. One way to exchange product data. Less confusion, fewer emails, cleaner processes, ...

AI is all the rage, says Maarten van den Outenaar. In the long run, the hype may pay off, but for now he sees a productivity paradox: “The intriguing reality ...

Ask what makes AI responsible, and most people point to the model's answers: is the output accurate, is it fair, is it drifting over time. These are real ...

At some point, you have your internal dashboards in order. The numbers are right, colleagues know where to find them, and then the question almost inevitably ...

An internal AI assistant can answer a question within seconds. Useful, until a colleague asks the same question and gets a different answer. Which one is ...

Everyone wants to talk about AI. Fine. AI is useful, exciting, and it will change a lot. But in commerce, the most important file of the week is often still an ...

In organisations that do not place data at the heart of their AI strategy, I often hear the same question: waarom geeft de agent niet de respons die ik ...