Systems | Development | Analytics | API | Testing

The Expanding Universe of IoT: A Guide to IoT Testing in 2025 and Beyond

With its ability to link billions of objects and produce previously unheard-of volumes of data, the Internet of Things (IoT) has erupted onto the technical landscape. IoT is changing daily life and industries, from wearable and smart homes to industrial automation and linked cars. However, there are specific difficulties in guaranteeing quality, dependability, and security in this networked environment. Strong IoT testing is becoming essential rather than optional.

Comprehensive Guide to Testing React Apps: Unit, Integration, and E2E Testing

When building apps, it’s tempting to dive right into writing code. But if we do this, there’s a good chance that our code will eventually break, as new changes are made and new features are introduced. This is particularly true of React, a library that’s constantly evolving. Testing in React isn’t only about catching hidden bugs but also about maintaining code quality day-to-day.

App Store developers: the DSA deadline is looming - are you ready?

Is your app available in the App Store in the EU? Then you hopefully already know about this change, but in case you don't: To comply with the EU's Digital Services Act (DSA), Apple is asking that all developers declare their trader status in App Store Connect by February 17, 2025. Failure to do so might lead to your app being removed from the EU App Store.

Revolutionize Your Data Workflow: Keboola CLI Meets Cursor AI

We at Keboola believe that there can’t be too much efficiency in data engineering. Any data professional would surely agree, there is no such thing as good enough. And while better tools sometimes offer incremental steps, pushing the needle a little step at a time, a combination of tools can lead to impressive synergies. Keboola CLI and Cursor AI are exactly that—a combination that’s more than a sum of its parts.

Transform Testing With Perfecto AI Validation

Perfecto’s AI Validation transforms the way teams approach testing by intelligently analyzing test scenarios, visually validating applications, and adapting to changes—all without manual intervention. Enable your team to contribute to testing with simple, plain-language scripts, validate functional, visual, and contextual elements to ensure improved coverage across all application layers, automate script creation and updates to eliminate repetitive tasks, and increase efficiency, reduce manual effort, and deliver tangible value with advanced AI-driven solutions that optimize testing processes.

The AI Tipping Point: What Healthcare and Life Sciences Leaders Need to Know for 2025

AI is proving that it’s here to stay. While 2023 brought wonder and 2024 saw widespread experimentation, 2025 will be the year that healthcare and life sciences get serious about AI's applications. But it’s complicated: AI proofs of concept are graduating from the sandbox to production, just as some of AI’s biggest cheerleaders are turning a bit dour.

Gen AI or Traditional AI: When to Choose Each One

When it comes to leveraging AI to capture business value, it’s worth asking, “what kind of AI do we need exactly?” There are significant differences between the methodologies collectively referred to as AI. While 2024 might have almost convinced us that gen AI is the end-all-be-all, there is also what’s sometimes called ‘traditional’ AI, deep learning, and much more.

Achieve Game Changing Command Over Hybrid Cloud with Hitachi EverFlex Control

Imagine you're an IT administrator managing sprawling hybrid cloud workloads and infrastructure with multiple service catalogs, each requiring meticulous attention to detail and manual analytic and administrative effort. Your team is constantly juggling between different tools, struggling with infrastructure observability and management productivity, facing challenges optimizing costs and gaining actionable insights.

Gen AI in Action: Customers Use Cortex AI to Save Time and Personalize Customer Experiences

For years, companies have operated under the prevailing notion that AI is reserved only for the corporate giants — the ones with the resources to make it work for them. But as technology speeds forward, organizations of all sizes are realizing that generative AI isn’t just aspirational; it’s accessible and applicable now.