Systems | Development | Analytics | API | Testing

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The Fall and Rise of Embedded Plugins: The Trend Away from IFrames

IFrames were used, and are still used, in many embed frameworks. After much experimentation, including many unsuccessful platforms, iframes have proven themselves to be a simple and powerful way to let partners customize your experience. However, their limitations are also known: Consequently, platform teams have tested and continue to test alternatives. Certain platforms now exclude iframes entirely, while others combine iframes with non-iframe alternatives.

Why Automation Visual Testing: The Future of Software QA

Within the domain of software quality assurance, functionality and user experience hold a paramount position, and visual testing becomes an indispensable protector of the digital environment. The complexity of modern apps is always growing, thus it's critical to guarantee pixel-perfect precision and smooth visual consistency across all platforms and devices.

The Intelligent Solution to Process Pharmaceutical Data

Pharmaceutical industry leaders are adopting new artificial intelligence (AI) technologies and increasing process efficiency. The Infosys report on AI adoption shows that pharmaceuticals are among the most mature industries in Al adoption. In the same report, 40 percent of the respondents claimed their organizations had deployed Al and that it was working as expected. AI-powered features help them manage massive volumes of pharmaceutical data with great accuracy and speed.

The End of Manual-Only Testing

Is manual testing enough to keep up with the speed of modern development? @Allen Loew from Progressive Leasing explains that while there’s still a place for manual testing in specific cases, automation is becoming a necessity. Automation helps teams maintain the velocity required to meet deadlines. As projects grow in complexity and size, automation is essential to manage large volumes of tests and data efficiently.

Shift Left: Bad Data in Event Streams, Part 2

Alright, I’m back. Time for part 2. In the first part, I covered how we handle bad data in batch processing. In particular, cutting out the bad data, replacing it, and running it again. But this strategy doesn’t work for immutable event streams as they are, well, immutable. You can’t cut out and replace bad data like you would in batch processed data sets.

One Workflow to Rule Them All

Let’s say you’re leading a company that receives thousands of documents daily. These documents come in various formats like Excel, PDFs, CSVs, and more. And they differ in terms of layout. Before you can analyze the data, your team spends hours sorting, cleaning, and preparing these documents. Most of their time is spent preparing the documents for integration into business systems. Then, a colleague shares how intelligent document processing helped him save time and boost productivity.

RAG: An X-Ray for Your Data

Retrieval Augmented Generation (RAG) is an intelligent assistant that helps you find exactly what you’re looking for in a pile of medical records. Like an X-ray shows you hidden details inside the body, RAG helps you quickly extract precise information from complex data. RAG provides instant, accurate answers—often visualized in charts or summaries that require analysts to produce manually. RAG combines two AI capabilities—retrieval systems and generative models.

Boosting Release Confidence: Scalable and Secure Testing to Prepare for the Holidays

Delivering high-quality digital experiences during the holiday season is crucial, with 30% of annual revenue on the line. Developers need scalable, secure, and compliant infrastructure to ensure smooth releases and easy software testing. However, over 60% of developers admit to releasing untested code to meet deadlines, risking bugs and jeopardizing customer experience and revenue. Listen to the discussion about how to mitigate risk, catch bugs earlier, and test securely at scale in preparation for a busy holiday season.