What are the differences between AI and IA? When is Intelligence Augmentation superior to a pure Artificial Intelligence approach? Which solution makes the most sense for your problem set? Consider IA solutions when a limited amount of data exists

Describes the best practices for setting automated test architecture for R Shiny apps. Automate and test early and often with unit tests, user interface tests, and performance tests.

Intelligence Augmentation is concerned with leveraging machines to enhance human intelligence. It’s a partnership between person and machine in which both parties contribute their strengths. It's AI that partners with humans for decision support

For advanced R Shiny applications, R6 classes help you organize your code. The Hows and Whys of using object-oriented programming (OOP) in Shiny applications...

Two methods for keeping your Shiny app organized while avoiding hardcoding. Also, a tip for adding multiple languages (internationalization) to your app.

Three methods for using javascript code in Shiny applications to build faster apps, avoid unnecessary re-rendering, and add components beyond Shiny's limits. Part 2 of a 5 part series on super solutions for Shiny architecture. 

Learn how to use the session argument as a global list for passing parameters between modules in advanced Shiny apps to simplify the objects’ flow in code., organize app content, simplify objects flow logic, decrease bugs, increase speed

At Appsilon, we design, develop, and maintain enterprise R Shiny dashboards. These 6 best practices include tips for user adoption, architecture, and testing.

Is R Shiny better than Excel? Explore 8 Shiny alternatives to Excel, both for table data and data visualization.

SASS gives you variables, conditions, and loops to generate CSS. Learn how to use it with this SASS tutorial in R.

Learn how to add custom CSS to your Shiny apps and make them visually stunning by using style sheets in your project’s www folder.

In this article we explore if machines can replace us (R programmers) in writing Shiny code. I'll show you some easy applications of a simple model of a recurrent neural network implemented in an R version of Keras