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!
The recently released 2.0.7 version for the “Deploy to Bitrise.io - Apps, Logs, Artifacts” Step switched storing artifacts from AWS S3 to Google Cloud Storage, which means improvements in speed, especially for testing and deployment.
In this article, we’ll compare these two state management solutions by using both of them to build a simple counter application with React Native.
Bitrise’s Build Insights functionality allows you to track your build and test performance so that you can stay on target and accelerate your build pipelines. In this article, we’ll take a look at the video tutorial series recently released that gives you a first-hand look at Build Insights.
This is a story about how I switched from Android development to Flutter. About 10 years ago, I created my first Android application. I worked for a company that focused on mobile development — iOS and Android. For me, Android development was the obvious choice. I liked Java more than Objective-C, and in general, Android was more affordable. However, mobile development has changed a lot over the years. There are so many new languages, technologies, and architectures.
