AI Case Study

Capgemini improves software development productivity and quality by using machine learning driven "low-code development"

Capgemini uses Mendix's AI powered low-code development platforms to manage enterprise software development visually, using it for development, deployment and maintenance. The platform uses machine learning algorithm trained on 5 million application flows built across 15 industries to predict the next steps with 90% accuracy and assist development.

Industry

Technology

Software And It Services

Project Overview

"Low-Code is a visual development approach to application development enabling a spectrum of developers of varied experience to create applications for web and mobile using drag-and-drop components and model driven logic through a graphic user interface. Low-Code platforms relieve non-technical developers from having to know traditional programming languages and support professional developers by abstracting tedious plumbing and infrastructure tasks required to stand up and maintain applications. Working together, developers in the business and IT create, iterate, and release applications in a fraction of the time it takes through traditional development methods."

Reported Results

POC; Results not yet available

Increases developer productivity and decreases defects

Mendix Assist claims 90% accuracy on identifying the next step while building enterprise application

Technology

"The platform was built based on a machine learning analysis of more than 5 million anonymized application flows built with Mendix across 15 industries."

Function

Information Technology

Development

Background

Mendix Assist is the first AI-assisted low-code application development platform.

Benefits

Data

"More than 5 million anonymized application flows built with Mendix across 15 industries."