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Top Enterprise Content Management Systems for 2022

#artificialintelligence

As companies continue to digitally transform, they increasingly turn to enterprise content management systems to help manage high volumes of information. In fact, the global enterprise content management market is expected to grow to $37.7 billion by 2026. Enterprise content management encompasses a wide range of aspects for managing documents and information under one roof. We've compiled our top enterprise content management systems. Hyland's content management platforms help manage, organize, and distribute content effectively across an organization.


Extracting the Metadata from an IBM FileNet Document's Content

@machinelearnbot

The metadata of any file describes additional information about the document. For example, the metadata for an audio file might include the author/artist, release date, album, genre, and so on. When a user checks in a file to the IBM FileNet repository, he or she must explicitly add this additional information to the document's properties. Otherwise the metadata simply lies hidden inside the document's content element. By automatically extracting the available information and adding it as metadata, others can use the information to search for the document or to run additional analytics.


Top 5 Intelligent Document Capture Myths Debunked - Shamrock Solutions Professional Services & Software for Content Management

#artificialintelligence

If you've been around the business world for a while, you've most likely come across the term "intelligent document capture," or you're at least you're familiar with the concept. The best case scenario is that your company is actually using and benefiting from such a solution. In which case, you're witnessing first-hand the time and cost savings, increased efficiency, and faster turnaround times that the latest capture products offer. But if you don't already have a capture system in place, it's possible that you have certain notions about the technology.


Working with PDFs in Python: Reading and Splitting Pages

#artificialintelligence

Today, the Portable Document Format (PDF) belongs to the most commonly used data formats. In 1990, the structure of a PDF document was defined by Adobe. The idea behind the PDF format is that transmitted data/documents look exactly the same for both parties that are involved in the communication process - the creator, author or sender, and the receiver. PDF is the successor of the PostScript format, and standardized as ISO 32000-2:2017. For Linux there are mighty command line tools available such as pdftk and pdfgrep.


Information Use in Integrity Systems: Testing the potential for Automated Content Analysis of Local Government Documents

#artificialintelligence

The transparency of local government decision-making commonly depends on the discovery and use of information by a wide range of participants acting within the surrounding local integrity system. The roles of external organizations (including the media, academics, and non-government institutions) in using information to perform oversight roles is an important characteristic of local integrity systems. However, even in a relative deluge of document-based local government information, pernicious forms of unethical decision-making can evade immediate detection, hidden in plain view within archives of pages which are too expansive to be manually scrutinized. Responding to numerous examples of failed internal governance in local governments in Australia, we profile the experimental development of a prototype system intended to systematically extract information from meeting minutes. We identify how elementary differences in document expression constrains many innovative uses of these records to support the identification of potentially unethical decision-making.