Joget Blog

The Joget team is proud to announce that the first preview release for Joget DX is now available for download! What is Joget DX? Joget DX  is a next generation open source application platform for faster, simpler digital transformation (DX). Joget DX combines the best of business process automation , workflow management and low code application development in a simple, flexible and open platform. With Joget DX business and technical teams can collaborate to rapidly build full-fledged enterprise applications visually, anywhere, anytime. Joget started as the open source Joget Workflow project on SourceForge in 2009. Initially a workflow engine for business process automation, Joget evolved into a full-fledged application development platform in its third major release Joget Workflow v3 in 2011, back before the term “low code” was even coined by Forrester in 2014. With almost 200,000 open source downloads and more than 10,000 community members since inception, the ...

  Joget DX is an open source no-code/low-code application platform that introduces innovative features such as automatic support for progressive web apps (PWA) , integrated application performance management (APM) and built-in artificial intelligence (AI) support.  In the previous article A Quick Introduction to Artificial Intelligence, Machine Learning, Deep Learning and TensorFlow , we introduced the concepts behind these terms, and how things generally work. In this article, we’ll have a look at how to incorporate TensorFlow for AI use cases on the Joget platform. AI and Decision Support Features in Joget DX To simplify process automation, Joget DX supports Decision plugins that can be mapped to process routes for decision making. Several implementations are bundled, including a no-code Rules Engine and a no-code TensorFlow plugin to execute pre-trained models. The AI focus in Joget DX is to simplify the integration of pre-trained AI models into end user...

What used to be just a pipe dream in the realms of science fiction, artificial intelligence (AI) is now mainstream technology in our everyday lives with applications in image and voice recognition, language translations, chatbots, and predictive data analysis. In this article, we’ll introduce AI along with its related terms machine learning and deep learning. By the end of the article you should understand these terms, how things generally work and be more familiar with terms like Inception and YOLO (and no, we’re not talking about the Leonardo DiCaprio movie or some internet meme). Artificial intelligence (AI) is the simulation of human intelligence by computers. Machine learning is a branch of AI where algorithms are used to learn from data to make future decisions or predictions. Deep learning is a specific subset of machine learning using artificial neural networks (ANN) which are layered structures inspired by the human brain. The following diagram shows more clearly...