Automated data discovery is particularly at home in the fields of artificial intelligence, big data and smart data, as well as automation. It describes how computer programs can independently discover important information in large amounts of data without a human having to search through everything individually.
Imagine a company receives hundreds of emails every day. With automated data recognition, special programmes can automatically identify and sort names, addresses, and important content. This saves time and reduces errors, as the data no longer needs to be checked manually.
Automated data detection mostly uses methods from artificial intelligence such as pattern recognition or machine learning. This means the system is trained to recognise recurring structures in the data. This makes handling huge amounts of data much more efficient.
An example: In a factory, a system constantly collects data from machines. Automated data detection filters out when a part might soon fail. This allows maintenance to take place in good time and prevents breakdowns.
Through automated data recognition, companies become faster, more accurate, and can react better to changes. This is how data is turned into real added value.
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