Systems | Development | Analytics | API | Testing

Latest Blogs

Capturing the opportunity of AI while keeping an eye on sustainability with STaaS

The ever-growing tide of data, fueled by analytics and AI, places a significant strain on data center resources and increases energy consumption. With more stakeholder scrutiny and evolving regulations, such as the EU’s Corporate Sustainability Reporting Directive (CSRD), and U.S. regulations on the horizon, organizations are taking notice now more than ever before. As a result, organizations are prioritizing sustainability in their IT strategies.

Optimizing Parallel UI Testing with Humans and Machines

Releasing software is often a sequence of repetitive activities, including critical quality gates to assure the right version, configuration, and scope are deployable and releasable. In those critical moments, we want our release quality and risks to be predictable against expected outcomes and behaviors – we want to mitigate any potential risks associated with new changes.

API for Dummies: Your Easy Guide to Understanding APIs

If the term “API” puzzles you and you feel lost in a world of tech talk, this guide is for you. APIs, or application programming interfaces, act as the language that allows different software applications to talk to one another. Imagine you’re ordering a coffee at a cafe; the API is like the waiter who takes your order to the barista and then brings your coffee to you.

How I Simulated A Response From A Third Party App

Whether you’re building a web application, a mobile app, or any other software product, integrating with third-party APIs is almost inevitable. But what happens when you need to test your application’s behavior without relying on these external services? That’s where the magic of simulation comes in handy. In this blog, we’ll explore how you can simulate responses effectively, even if the actual service isn’t available.

A Look Back at the Gartner Data and Analytics Summit

Artificial intelligence (AI) is something that, by its very nature, can be surrounded by a sea of skepticism but also excitement and optimism when it comes to harnessing its power. With the arrival of the latest AI-powered technologies like large language models (LLMs) and generative AI (GenAI), there’s a vast amount of opportunities for innovation, growth, and improved business outcomes right around the corner. All of that technology, though, depends on data to be successful.