eXplain
eXplain is a specialized code-analysis and legacy-system evaluation tool from PKS Software GmbH, designed to deeply analyze, map, document, and assess legacy applications, especially on mainframe platforms such as IBM i (AS/400) and IBM Z, so organizations can understand what lives in their software, how itâs structured, and what parts are worth keeping, refactoring or retiring. It imports existing source code into an independent âeXplain serverâ, no need to install anything on the host system, then uses advanced parsers to examine languages like COBOL, PL/I, Assembler, Natural, RPG, JCL, and others, along with data about databases (Db2, Adabas, IMS), job-schedulers, transaction monitors, and more. eXplain builds a central repository that becomes a knowledge hub; from there, it generates cross-language dependency graphs, data-flow maps, interface analyses, clusterings of related modules, and detailed object-and-resource usage reports.
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Amazon Rekognition
Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.
With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.
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Google Cloud Vision AI
Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more. Google Cloud offers two computer vision products that use machine learning to help you understand your images with industry-leading prediction accuracy. Automate the training of your own custom machine learning models. Simply upload images and train custom image models with AutoML Visionâs easy-to-use graphical interface; optimize your models for accuracy, latency, and size; and export them to your application in the cloud, or to an array of devices at the edge. Google Cloudâs Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.
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HelpXplain
In Technical Documentation, we often need to explain multi-steps procedures. We use bullet lists, we add screenshots and text. The more we add, the more likely it is that our readers will lose track. An Xplain, as we call it, is a series of slides freely arranged on a huge canvas to spark your creativity. HelpXplain is perfect for slideshows embedded into web pages and technical documentation. Create animated step-by-step tutorials and quick instructions in minutes instead of hours. The magic is in the method, HelpXplain animates a series of simple screenshots, each of which can be edited or replaced at any time. HelpXplain can also record multi-page screencasts of programs on your computer screen that run in autoplay mode like a video. Recording and editing them is massively easier and less stressful than trying to create a video! All Xplains are 100% standards-compliant HTML5 and Javascript.
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