The when in Kotlin defines a conditional expression with more than one branch, that’s the statement you need to use when you want to write a Kotlin switch. In Java, we are using switch case statements. In Java, we need to define a break in each switch case, but in Kotlin we don’t need to. There are two ways you can use them in Kotlin. Either as a statement or as an expression.

How the world of generative AI has changed and what new innovations and capabilities mean for you.

Buckle up, we’re past the AI hype. Now, it’s about making intelligent systems that act on our behalf. In 2025, AI isn’t just a tool– it’s becoming our core way of operating, powered by real-time data. How we stream, manage and monetize that data will define the next generation of business. Here, we zoom into four examples of what autonomous real-time intelligence could look like in the coming year.

Integration testing is the second step of the software development process, occurring after unit testing. Once all the different components have been designed and tested, it’s time to put them all together. This process can be completed in a number of ways, depending on your preferences as a tester. Today, we’ll break down some of the most common questions about integration testing.

DevSecOps automation is key for safety-critical software development. Here we explain what is DevSecOps automation and why it is important for safety-critical software. Read along or jump ahead to the section that interests you the most.

Implementing predictive analytics in healthcare empowers healthcare providers to take a data-driven approach to anticipating future events and making informed decisions. It helps healthcare professionals forecast the progression of diseases, plan and optimize resource allocation, and ultimately shift from reactive to proactive care. This approach improves patient health outcomes and overall efficiency.

Predictive analytics is changing how businesses make decisions. Companies can use data, machine learning, and statistical modeling to forecast outcomes with better accuracy. So, how can predictive analytics techniques transform your business? Predictive analytics uses historical data to predict future events. It involves understanding the relationships within your data to predict what's next, impacting industries from retail and healthcare to finance and manufacturing.

Integrating OpenAI with BigQuery unlocks powerful possibilities for AI-powered data analysis and advanced insight generation. This guide explores how the OpenAI BigQuery integration enables businesses to transform their data warehouses into intelligent analytics powerhouses.

APIs facilitate effortless communication and data exchange between applications and services. However, their inherent design, which codifies service capabilities within the API definition, makes them easily exploitable by malicious actors. API attacks in the US alone are projected to cost $506 billion this decade — and are expected to surge 996% by 2030. And API-related breaches lead to more leaked data than the average security breach, according to Gartner.

Large Language Models, or LLMs, have become a near-ubiquitous technology in recent years. Promising the ability to generate human-like content with simple and direct prompts, LLMs have been integrated across a diverse array of systems, purposes, and functions, including content generation, image identification and curation, and even heuristics-based performance testing for APIs and other software components.