Systems | Development | Analytics | API | Testing

Hitachi Vantara recently commissioned Forrester Consulting to conduct a Total Economic Impact (TEI) study to examine the value that customers could achieve using cloud and application modernization services from Hitachi Vantara. To better understand the benefits, costs, and risks associated with this investment, Forrester interviewed four decision-makers at companies with experience using cloud and app modernization services from Hitachi Vantara.

Read our hands-on guide that explains how to build, deploy, and host Flutter Web apps on Firebase Hosting so you can reach more users in browsers with the same experience as on mobile devices.

SonarQube by SonarSource is the leading tool for continuously inspecting the code quality and security of your codebase and guiding development teams during code reviews. It is an open-source tool that has support for 29 programming languages as of the time of writing this article, and the number is growing. SonarQube’s key features include.

There are a variety of technology stacks for Artificial intelligence (AI), Machine learning (ML) and data analytics applications. However, the ideal programming language for AI must be powerful, scalable and readable. All three conditions are met by the Python programming language. With outstanding libraries, tools and frameworks for AI, ML and data analytics, Python has proven success leveraging all three technologies.

Sharing your application with real users in real environments before your app goes live has to be one of the most exciting stages of app development. You get to release your application to targeted users to test and uncover bugs in your app — in other words, to beta test it. Speed and automation are critical factors when releasing your app to beta testers.

Artificial intelligence (AI) has been a focus for research for decades, but has only recently become truly viable. The availability and maturity of automated data collection and analysis systems is making it possible for businesses to implement AI across their entire operations to boost efficiency and agility. AI has the potential to transform operations by improving three fundamental business requirements: process automation, decision-making based on data insights, and customer interaction.

The reality is.... Mobile testing is hard! But with the right planning and forethought, you can avoid common pitfalls that can undermine your well-intentioned efforts. Read on to discover how to avoid our top four testing mistakes.

In this tutorial, we will learn the definitions of the different stages of production and their importance in development. We will also cover how to use different Firebase configurations in various environments. Additionally, we will learn about bloc widgets and what they do while managing our state in our Flutter application.

In the last part of our Alexa for Bitrise tutorial series, you will learn how to publish Alexa Skills to Alexa for Business and use it with AWS Organizations. Let's dive in!