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Data

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The early days of life on Earth were dominated by single-celled organisms that sometimes organized into colonies. Then, back about 541 million years ago during the Cambrian era, most of the major animal phyla suddenly appeared in the fossil record. This is known as the Cambrian explosion.

It seems that the twenty-first century is experiencing its own Cambrian explosion of data. In the beginning, there was data. Pre-Cambrian data. It was pretty simple, mostly structured, and relevant to specific commercial applications such as accounting or inventory or payroll and the like. Data processing turned that data into information to answer questions, such as “What does that mean for me?”

Now, thanks to the Internet and other data-generating technologies, big data has arrived. Unfortunately, traditional data processing lacks the sophistication and power to answer all the questions that are hidden in the data. AI employs big-data analytics to turn big data into actionable information.

What differentiates regular old data from big data? The three Vs mentioned earlier:

 Volume

 Variety

 Velocity

Enterprise AI For Dummies

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