‍ The rise of artificial intelligence (AI) in testing is enabling more predictive and intelligent test generation, execution, and defect analysis. This shift aims to reduce the time and effort required for manual testing to enhance test coverage and improve the overall software quality. Justifiably, key insights from Fortune Business project the growth of the AI-enabled testing market from USD 736.8 million in 2023 to USD 2,746.6 million by 2030.

If you're not doing automation testing, you're missing out on its incredible benefits. Today, automation testing is the norm in the QE industry. With automation testing, testers can now dramatically increase their productivity while introducing a standard to the QA process. Here are 10 core benefits that any QA team can immediately see upon adopting automation testing.

The asset management firm’s tech business discusses how it enables data-driven investment decisions during Snowflake Summit 2024.

Imagine that you’re a healthcare provider who’s just treated a patient. It’s time to get paid for your services, but you don’t want to deal with endless paperwork and unnecessary phone calls. There’s a better and more streamlined way to handle it — the electronic way. Electronic Data Interchange (EDI) is responsible for providing just that.

This is the first of a two-part series using Django, htmx, and Stripe to create a one-product e-commerce website. In this part, we'll start our Django project and integrate it with htmx. In the second part, we'll handle the orders with Stripe. Let's get going!

We’re excited to introduce a significant addition to WSO2 Micro Integrator: our new visual data mapper, now available with the 4.3.0 release. This feature is designed to enhance your data integration experience by providing a more intuitive and user-friendly way to manage and transform data.

The benefits of API mocking extend beyond just speeding up development. It enables developers to work independently of external APIs, eliminating delays caused by dependencies that may be out of their control. This independence is crucial for maintaining workflow efficiency, especially in complex projects involving multiple APIs. API mocking is invaluable for testing edge cases and error scenarios that might be difficult to reproduce with a live API.