Texter Blue
Digital content management is crucial for an organization’s success. In essence, it consists of a set of processes that allow businesses to manage all digital content, all using an Enterprise Content Management System (ECM).
Organizing, indexing, and securing internal digital content is an important part of business operations. This can be applied to digital documents, images, videos, raw data, etc.
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.
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.
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:
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).
Technology keeps evolving every day, and with the vast amounts of data and documents collected by companies, new and improved solutions need to be found to automate everything.
With AI and Machine Learning, many innovative solutions are appearing, improving the classification of documents, data recognition and enrichment (based on the content of the file) and search capabilities. Thus, optimizing companies’ workflows.