A debate is running through the data and analytics community: BI is dead. The framing is wrong. The honest version of the argument points to something most of the industry is still avoiding.
Have you ever wondered who keeps the world’s biggest networks running smoothly? Nine out of 10 top global telcos trust Cloudera to handle the heavy lifting. From processing a staggering 10 million events per second to managing data across the globe—from Indonesia to Africa—Cloudera provides the hybrid scale and "cloud anywhere" flexibility that massive networks need to stay secure and compliant. It’s all about delivering top-tier network quality and the best customer experiences through end-to-end governed data and AI.
Over the past few years, Easysecrets has established itself as a trusted partner within the Atlassian ecosystem. Beyond consistently delivering efficient solutions through strong development capabilities, the company has also built a reputation for offering a diverse and innovative portfolio tailored to evolving customer needs. When discussing Atlassian, it is impossible not to mention Jira.
Last Updated: May 2026 Your API documentation is just as important as your API itself. It defines how easy it is for users to learn, understand, and use your open-source or paid product. In this post, DreamFactory highlights eight of the best API documentation examples from well-known tools. These examples can serve as inspiration for creating effective, developer-friendly API documentation.
In an increasingly digital world, the way we organize our work and personal lives has evolved dramatically. From managing tasks and communication to creating content and staying productive, most of our daily routines now revolve around digital tools. But while technology promises efficiency, it can often have the opposite effect-especially when we rely on too many disconnected apps. The key to truly benefiting from technology isn't using more tools, but using the right ones in a smarter, more structured way.
Before I ever ran Claude in my terminal, I thought I already understood AI tools pretty well. Like most people, I had used ChatGPT, Google Gemini, and Perplexity for everyday tasks. Such as helping with schoolwork, organizing ideas, summarizing information, or getting through something faster when time was tight. They were useful, but they still felt separate from how real work happened.
Earlier this year we started asking a simple question to finance leaders we met at events, on calls, and in roundtables: where do you actually start with AI in finance? The answers were consistent enough that we decided to do something about it. We invited 30 CFOs, finance directors, and finance managers to a business breakfast at our Prague office. A morning with peers who are all trying to answer the same question: where do I actually start?
Five diagnostic patterns. One decision tree. A senior practitioner's triage playbook for Playwright flakiness in 2026. Flakiness is architectural, not framework-borne: Almost every flake traces back to async state, locator drift, session pollution, environment variance, or AI-agent non-determinism — not to Playwright itself.
New executive appointment strengthens the managed crowdsourced testing leader's commitment to advancing digital quality by pairing human expertise with AI efficiencies.