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Data Privacy, Data Protection, and Compliance: Here are the differences!

No doubt that one of the greatest’s assets today is data. So, as consumers provide significant amounts of data to businesses, Data Privacy, Data Protection, and Compliance, became a major subject.

Data Privacy, Data Protection, and Compliance – all these are similar, but not the same. Most IT professionals use these terms interchangeably. The reason for that is somewhat simple, data protection deals with privacy, data privacy deals with protection and both detail compliance requirements. So, let’s expand on each term individually!

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Document Processing: Before AI and After AI!

Documents have been processed for a long time… manually! Thanks to the advancements in technology this task has become faster and automated. Nowadays, AI can automatically process various types of documents, in a much timelier manner and with less error than humans are able to.

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AI-Powered Document Data Extraction: The role of documents in businesses, and how AI can help?

We’ve wrote before about the advantages of using AI to automate data extraction. In this article, we’ll explore deeply into it.

Document data extraction is the process of extracting meaningful data from semi-structured and/or unstructured documents for later use or storage. When referring to the use of AI or Machine Learning to perform that task, it’s called Automated Document Data Extraction.

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What is Data Enrichment, types, and benefits?!

Data is one of the most important aspects of any business. Almost every decision taken in a business is empowered by informed data analysis. By using data, precise decisions are made using trends and facts, not speculation, leading an optimized decision process.

Data enrichment is the process of combining data from internal sources with data from external sources. By doing this, the data already owned is enhanced and more informed decisions can be made.

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What is metadata and how does it work?

You’ve probably heard about metadata many times before, but do you know what it is? Metadata summarizes basic information about data, making it easier to find, and to use particular instances of data. Some basic examples of document metadata are, date created, date modified, file size, etc. Other than documents, metadata is used in:

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Intelligent Document Processing (IDP): Extracting and organizing information from any document format

The pressure on businesses to become more efficient and better optimized keep increasing every day. To achieve such goals, many companies keep investing in digital transformation, exploring innovative technologies to get ahead on their competition. One such technology is Intelligent Document Processing (IDP).