To this point, AI has been applied to augment analytics in a somewhat bifurcated fashion. On one hand, we have seen natural language support the business consumer that requires simple answers to known questions, helping them quickly take action. And, on the other, AI helps content authors and BI developers auto-suggest charts and automate data preparation, improving efficiency and reducing manual workloads. But, there’s a gap, and the value is huge.
Selenium is the oldest and most well-recognized automated testing tool for web apps, so a lot of software teams try it out when they first experiment with automated testing. But most teams quickly run into three Selenium disadvantages: Because of these challenges, many software companies that use Selenium find testing to be a huge drain on time, effort, and resources. That’s why we designed Rainforest QA—to solve the limitations of Selenium and make QA easy to scale and maintain.
As a developer, I am a massive fan of documentation and (as you can probably tell from my previous blog post) also a big fan of Storybook. If you’re interested in what Storybook is and how to set it up, or integrate it into your existing project, you can find out more about that here. However, in this post, I am going to be outlining why you should be using Storybook and each of its features and capabilities.
Hello to the Testhouse family! This is what I hope will be the first in a series of blog posts aimed at sharing insights into things I have learned or experienced in my career in testing to date. If you find anything that sparks your interest, or have follow up questions, then please do let me know. This first blog is about mentorship, conferences, and the value of networking; I hope you find taking a few minutes to read this will be time well spent!
