Systems | Development | Analytics | API | Testing

The AI mandate is real. Boards and executives are demanding that software organizations move faster, embrace AI, and deliver without breaking trust. Development velocity is accelerating at machine speed, but testing has not kept up. The question every QA leader faces today is simple: will quality keep pace, or will it become the bottleneck? This is where the shift from automation to AI-native testing comes in.

When you write a Selenium test, every interaction depends on one crucial step: identifying the right element. Whether it's a button, input field, dropdown, or link, Selenium must find it before it can click, type, or select. This is where element locators come in. These strategies help your Python scripts pinpoint specific pieces of the page, just like a user would. In this guide, you'll learn exactly how to find element in Selenium with Python confidently and consistently.

Databases are the spine of most any app we use today, from a banking app to an online shopping site. Good application is hidden under cover of the user interface, in the basement, in the room where the data is stored, processed and fetched. Database testing is vital for that very reason. It makes data accurate, secure and trustworthy, which in turn keeps apps stable and businesses running smoothly.

In January this year, financial institutions across the EU were faced with a clear mandate – the Digital Operational Resilience Act (DORA): to ensure digital resilience, maintain service continuity and strengthen oversight of Information and Communication Technology (ICT) partners.

When AI projects derail, it’s rarely because the model was weak. More often, failure comes from using MCP in the wrong way—forcing it to act as a universal API, data pipeline, or real-time engine instead of what it truly is: an orchestration and intelligence layer. Recently, Nate B.

We are thrilled to announce that Confluent Cloud for Government is now available on the FedRAMP Marketplace with FedRAMP 20x Low authorization, allowing both private and public sector customers to leverage our cloud-native data streaming platform to power their mission-critical applications. This milestone marks the successful completion of Phase One of our FedRAMP 20x Pilot program.

IT leaders have long believed that integration is the best way to connect a chaotic enterprise technology landscape. However, that approach is falling short. It's not powerful enough to manage the complexity, which has only increased with the introduction of AI. What’s needed now is an overarching, holistic view of people, data, processes, and AI—a view that’s made possible with end-to-end process orchestration.

If you’re leading a product team, working on Software Development for Startups, or scaling an enterprise IT roadmap in 2025, you’ve probably felt it. The pressure to move fast, stay secure, and deliver innovation without blowing your budget is very real. But here’s the catch: you’re not just shipping late without a strategy. You’re risking technical debt, security gaps, and missed market opportunities.

The future of embedded BI - TL;DR Modern embedded business intelligence (BI) platforms allow you to deliver deep, custom-tailored analytics without the crippling overhead. It's built on three pillars: Ready to build a more valuable product with smarter analytics? Book a Yellowfin demo today. Building a great software product is a lot like creating your perfect video game.

Imagine your team ships a new feature after weeks of hard work. The launch goes live, confidence is high, until the first bug report rolls in. Then another. And another. Out of the blue, something that was working fine in one browser breaks in another, users are unhappy, and your support team is drowning. This isn’t just a bad day; it shows that traditional testing is not equipped to handle the complexity of modern web applications. That’s where Playwright testing changes the narrative.