OpenKM is an Enterprise Content Management Software, often referred to as Document Management Systems (DMS), EDRMS, or CMS.
A Document Management Software (DMS) is a computer program used to store, manage, and track electronic documents and images of paper-based information captured using a document scanner or other means.
OpenKM is a management solution that allows businesses to control the production, storage, management, and distribution of electronic documents and control documents' flow
OpenKM is a document management software that integrates all essential document management, collaboration, and advanced search functionality into one easy to use solution. The system also includes administration tools to define various users' roles, access control, user quota, document security level, detailed logs of activity, and automation setup.
With OpenKM enterprise document management, you can:
Control your enterprise content. Collect information from any digital source. Collaborate with colleagues on documents and projects. Empower organizations to capitalize on accumulated knowledge by locating documents, experts, and information sources. Enterprise content management features. Manage digital content or documents.
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We had an excellent experience overall; the program, despite having many capabilities, serves its job, with only a few customer care issues. We are at ease using the program!
Based on our record, Amazon Rekognition seems to be more popular. It has been mentiond 33 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
AWS Rekognition is a great choice for many types of real-world projects or just for testing an idea on your images. The issue eventually comes with its cost, unfortunately, which we will see later in a specific example. Don’t get me wrong, Rekognition is a great service and I love to use it for its simplicity and reliable performance on quite a few projects. - Source: dev.to / about 1 month ago
I don’t really want to spend so much time manually adjusting labels. For most machine learning, the next step would be to fine tune your model. You can essentially fine tune Amazon Rekognition by using Custom Labels. You can do this to make it better at detecting specific objects (like bears) or train it to detect new objects like your product or logo. It really depends on your application needs. - Source: dev.to / 9 months ago
For instance, are you a company with lots of security cameras? Hire me to write a program that pipes your data into AWS rekognition and then shows you a dashboard of what happened on your cams today. Got a ton of products with no meta-description? Hire me to write a program that pipes your data into OpenAI, and then saves the generated description to your custom CMS. Source: 10 months ago
Amazon Rekognition: Used to index, detect faces in the picture, and compare faces when users try voting, it was the heart of the facial voting feature. - Source: dev.to / about 1 year ago
Sure. But if you think generating thumbnails and detecting intros/credits takes a long time, wait until your computer is running machine learning/computer vision over your entire library. They also have to build and train that model which is no trivial task. And I know what you're thinking, why don't they just use Amazon's Rekognition service that does celebrity identification? Well, it's $0.10 per minute of... Source: about 1 year ago
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