Systems | Development | Analytics | API | Testing

Picture this: As you’re analyzing sales data in Qlik or in Power BI, you spot an obvious error in a customer name and think “I wish I could just fix this right here instead of sending another email to IT.” If this sounds familiar, you’re not alone. The good news is that the business intelligence (BI) world is finally listening. Gone are the days when BI platforms were solely for consuming and analyzing historical data.

A new MIT study reveals 95% of gen AI pilots fail. But that’s not an AI problem. It’s an implementation problem. The real issue is the messy, fragmented way AI is used. Too many organizations treat AI as a helper on the sidelines—chatbots, copilots, and assistants that wait to be called upon. While helpful, this approach barely scratches the surface of what’s possible. Real transformation happens when AI is embedded directly into the core operations of your enterprise.

Modern innovation demands fast, secure, and flexible access to data. But when organizations deal with scattered databases and strict security policies, manual API development slows everything down. The solution? Automate how APIs are built, secured, and managed—using AI and open-source tools like DreamFactory.

Data activation maximizes the value of existing data infrastructure by reducing manual work, increasing reach, and enabling data teams to drive more strategic impact.

Oracle Cloud’s relentless quarterly update cycle waits for no one. Every three months, new functionality, UI changes, and bug fixes are rolled out – and every organization must test before going live. In regulated industries like pharmaceuticals, life sciences, and manufacturing, these aren’t optional updates; they are compliance-critical moments.

In international QA teams, working across timezones is usually the norm. QA leaders of such teams are expected to coordinate across time zones, tools, and cultures. That makes knowing how to manage a remote QA team a key skill in today’s software development world. When done right, distributed QA teams can deliver faster feedback, better coverage, and 24-hour testing cycles. But without structure, remote testing turns into confusion, missed bugs, and blockers at every stage.

Insurance companies operate in a world where every release carries weight. Policy management system testing must be precise. Legacy system modernization QA must avoid disruptions. And risk-based testing for insurers must cover the most critical business flows without slowing delivery. In this article, you will learn: Let’s get started.

July’s release brings significant advancements in mobile testing capabilities, integrations, and user experience enhancements, furthering Katalon's commitment to helping QA teams work smarter and more efficiently. Here is what we delivered in July.

While REST APIs and JSON responses are dominant in the API space today, SOAP might seem like a relic of the past; in fact, it is still relevant and a great candidate for a SOAP API type of project. SOAP is still considered the gold standard in many areas, from banking systems to healthcare applications, particularly where secure, contract-driven communication is concerned.

Every second counts in modern IT. The rise of hybrid environments – with fragmented data, complicated recovery and increasingly high costs – isn’t making things faster or easier. While managing complexity across different infrastructures, ensuring consistent application performance, and maintaining strict compliance standards have all become table stakes, many IT and security leaders still struggle with limited visibility, making risk management difficult.