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.

Traditional businesses are projected to be disrupted and revolutionized at an unprecedented rate as the Internet of Things (IoT) emerges. These new technologies have the potential to benefit the insurance business, which has been hesitant to adapt in the past. Before we get into how the Internet of Things will affect insurance, let’s define what we mean by “IoT” in this context.

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.

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.

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!

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.

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.