Massive data versus relevant data – simply a case of quantity over quality?

Many companies want to start their data journey with a massive IT project to collect and store lots of data. Of course, there are also cases where data models can be built from a massive amount of data even though we don’t know if it is relevant. Relevant data can be then chosen based on actual needs and testing which data matters. Small but relevant data can produce a useful AI model. Companies and developers should focus more on relevant data than big data.

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