Systems | Development | Analytics | API | Testing

On March 3, 2025, we released version 25.03 of our product analytics platform, delivering a focused set of updates that refine how we handle data, improve our user interface, and expand compatibility with cutting-edge technologies. While our major new functionality—Journeys and Content Builder—was already introduced in a separate article (read it here), this release brings additional enhancements worth exploring.

In the automation testing field, capturing screenshots is very important to verify the behaviour of different aspects of an application. Screenshots are visual evidence that helps testers verify application behaviour, identify issues, and improve test documentation. Selenium WebDriver, a popular tool for automating web applications, offers the best support for capturing screenshots that help in effectively monitoring and validating test results.

In the constantly changing landscape of software development, code reliability is paramount. One of the best methods of attaining this is by using unit testing. By concentrating on small, independent segments of the codebase, unit testing allows developers to identify bugs early and enhance code quality. To maximize the benefits of unit testing software, though, best practices must be followed.

In the facility landscape of education and learning, academic support emerges as an essential component in helping trainees to achieve their fullest potential. As educational systems make every effort to accommodate varied knowing demands, scholastic support comes to be a critical component that can considerably affect pupil success. This write-up explores the multifaceted nature of academic support, exploring its significance, numerous types, and the advantages it uses to students.

Let's be honest—nobody wants to deal with the fallout of a security breach. Yet, in our connected world, no business is immune. At Alphabin, we’ve seen firsthand how regular security testing can make the difference between a near miss and a full-blown crisis.

At ThoughtSpot, our mission has always been to empower every decision-maker with instant insights that fuel smarter, faster decisions. Recently, we announced the launch of Spotter, our AI Analyst, which brings AI-powered insights to every user, on any question, and any dataset. This is ThoughtSpot's answer to a growing market of AI agents, and it’s our vision to make AI the new BI.

Arpeely uses Google Cloud AI, multimodality and BigQuery to deliver highly relevant ads that optimize for long-term value.

The performance of your AI applications depends on your underlying infrastructure. Whether leveraging high-performance GPUs, accelerators, or CPUs, AI workloads require high-performance hardware. With a range of different GPUs and accelerators available, choosing the best one for your specific workload is critical. On top of selecting the best GPU for your workload's needs, efficiently running AI workloads in production and at scale is a challenge.

Today’s application development requires today’s test data management best practices. This is especially true for organizations embracing cloud-based application development. So, what can you do to improve your test data management practices? Start here, with our top best practices for test data management.

Keeping your API documentation accurate and up-to-date can be effortless with automation. Automatic API documentation updates use tools like Swagger and Postman to sync documentation with API changes in real time, saving time and reducing errors.