Imagine you need to explain the key differences between Test Plans and Test Strategies at a software developer’s meeting. You know there’s a distinction, but the details blur together. Don’t worry; you’re not alone. This post which includes some test plan examples, is designed to clear up the confusion surrounding these crucial documents, essential for understanding the framework of successful software testing.

ERP systems are critical in government agency operations for integrating internal and external management information. They are intended to optimize processes, improve collaboration, and connect with customers, vendors, and partners. Government ERP systems typically include modules related to financial management, human resources, sales, procurement, inventory, and operations like contract and project management.

The computer revolution in law took flight in the 1970s with the release of the iconic red “UBIQ” terminal. This innovation completely changed how legal document management was performed. It empowered lawyers to easily browse case law online rather than looking through towering racks of yellowed paper. As the years passed, a wave of new document management solutions emerged.

Let’s be honest – AI can seem like a bit of a mystery, and with this mystery comes myths and misconceptions. Is it actually that good? Can it handle varying document structures? Can it integrate with my existing systems? Because of this mystery, many companies have yet to take the leap and incorporate AI into their data processes. Today, we’re going to play MythBusters, separate fact from fiction, and show how you can use AI document processing to maximize efficiency and save costs.

Nowadays, building robust and secure RESTful APIs is a fundamental task. However, developers often stumble upon a common challenge: Cross-Origin Resource Sharing (CORS) issues. These issues can hinder the integration of APIs from across different domains, leading to frustration and delays in development timelines. In this article, we’ll be discussing the intricacies of CORS, and figuring out why these security features are essential.

Adtech and martech companies are engaged in a fierce battle for audience attention. Customers are bombarded with thousands of ads and marketing messages every day, and the average attention span is plummeting, so it’s no wonder they tune out — or turn on ad blockers. But it’s not all doom and gloom. The global adtech market is expected to grow at a rate of 22.4% through 2030, and martech’s projected growth rate is 18.5% through 2032.

From regular buttons, to tab bar elements, even to our SwiftUI app’s icon, Images are a very important aspect of every mobile device application. In this article we’ll look at how to show images in SwiftUI, and give you several tips, with examples, on how to use those Images in your own apps. In this article any image used was sourced from Pexels, a website that hosts a database of free-to-use and royalty-free images.

Being able to create and share insightful data-led stories to support your dashboards and reports is a critical capability in today’s modern workplace. You want your data to be accessible for more people, and ensure everyone gets value from your investments. Data storytelling tools bring valuable context to the ‘why’ behind the results, while inspiring your audience to care about and act on insights.

Consider the following: You go to the Apple Store to pick up the latest iPhone. You get home and turn it on, only to find that the screen is defective, the buttons aren’t working, and every one of the built-in apps is glitching. Thanks to QA tools, this is an extremely unlikely scenario. Before the iPhone reaches your hands, both its hardware and software have been tested repeatedly by a Quality Assurance (QA) team.

When AI first started to gain widespread adoption, it sparked a wave of fear. While much of that fear was overblown, we still need to remain cautious about any new technological innovation. Given AI’s potential to drive change on a massive scale, applying ethical principles to AI is not just important, but urgent. Every company must prioritize responsible AI—not only as an ethical responsibility but as a practical, strategic choice.