Digital transformation is no longer optional—it’s essential for staying competitive, driving value, and meeting evolving customer expectations. As Brian Solis puts it, “Digital transformation is to change the way you compete, how you create value, and how you can use digital tools and technology to be relevant as the world continues to evolve.” Organizations worldwide are taking this to heart, with spending on digital transformation expected to hit $3.9 trillion by 2027.

Security Operations Centers (SOCs) are the backbone of organizational cybersecurity, responsible for detecting, investigating, and responding to threats in real-time. Yet, the increasing complexity and volume of cyber threats present significant challenges. SOC teams often grapple with alert fatigue, skill shortages, and time-consuming processes.

Using a JSON mock allows you to avoid using fake data or simulating interactions, resulting in better final output and stronger data flows. Today, we’re going to dive into the process of creating a mock API using JSON data and tools like JSON-server. This guide will help you understand the basics of this process and get started quickly with your own mock API, allowing you to speed up development and testing without relying on a live backend.

AI is proving that it’s here to stay. While 2023 brought wonder, and 2024 saw widespread experimentation, 2025 will be the year that telecommunications enterprises get serious about AI's applications. But it’s complicated: AI proofs of concept are graduating from the sandbox to production, just as some of AI’s biggest cheerleaders are turning a bit dour.

We are entering a new era for marketing and advertising agencies. From evolving consumer expectations and increasingly stringent privacy regulations to the rise of AI, the landscape is shifting rapidly. To remain competitive, agencies need to reimagine how they operate. The winners will be those that adopt forward-thinking data strategies, build trust with partners and clients, and leverage AI to deliver real-time insights and personalized campaigns.

Our experts consulted their crystal balls to share their predictions for the trends in DevOps, automated testing, and more that we can expect in 2025.

The software testing landscape is experiencing an unprecedented transformation as we venture into 2024. This transformation isn't merely an incremental change—it represents a fundamental shift in how organizations approach quality assurance and testing methodologies. At the heart of this revolution lies artificial intelligence (AI), which is reshaping traditional testing paradigms and creating new possibilities for quality assurance professionals and developers alike.

In the world of software development, testing and debugging are two of the key components. These two key components are dedicated to different purposes. Before you prioritize between these two and know more about testing vs. debugging, you must have an in-depth knowledge of testing individually. Testing and debugging are essential for software development projects. This write-up will break down these two components, and you will receive insight into the comparisons and the factors related to them.

For software teams committed to using open-source test automation frameworks, LambdaTest is a solid one-stop shop for everything you need in the testing workflow. In this piece, we’ll give you some other options that also operate around open-source frameworks. But if you’re looking to automate your manual tests and haven’t already invested in open source, you should know about the painful tradeoffs that come with using solutions like Selenium, Cypress, or Playwright. For example.

Automation is very important to achieving efficiency and accuracy in software testing. Tools like Selenium and Cucumber are well-known for automating functional and behavior-driven testing. Yet, as projects scale, managing these tests can become increasingly complex. That’s where Xray steps in. Designed to integrate seamlessly with frameworks like Selenium and Cucumber, Xray offers a centralized solution for managing automated tests at scale.