Interpreting Big Data involves identifying trends from millions of data points and turning any interaction possible into a data point, even if the purpose isn’t understood straight away. Collect the data first, process it second.
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Big Data started with algorithms helpfully scouring vast amounts of data to find patterns. These days it feels a bit like Big Brother. Using machine learning and AI to tweak algorithms, companies are now able to deliver profound insights from datasets once considered impossible to compile.
https://www.androidauthority.com/just-how-big-is-big-data-806445/
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