Systems | Development | Analytics | API | Testing

That's a lot of tests.

Software quality assurance has evolved significantly in recent years, with behavior-driven development (BDD) emerging as a powerful methodology for aligning technical teams with business objectives. At the center of this evolution sits Gherkin, a simple yet powerful specification language that bridges the communication gap between technical and non-technical stakeholders and simplifies the creation and maintenance of automated tests.

Joined by hundreds of QA experts around the globe, Quality Horizon was truly a remarkable event, where a lot of thought-provoking conversations were sparked. We believe that participants of the Summit have taken home many actionable insights to improve their day-to-day work. If you haven't had the chance to join the summit, here's a quick recap. There were 5 sessions in total: Let's dive in!

The Centers for Medicare & Medicaid Services (CMS) has taken a key step toward improving healthcare efficiency and transparency. Under the CMS Interoperability and Prior Authorization Final Rule (CMS-0057-F), payers must offer electronic access to prior authorization (PA) information.

Software testing is essential in delivering high-quality applications. It plays a crucial role in maintaining user trust and satisfaction.

In today's data-driven landscape, organizations are inundated with vast amounts of information from diverse sources. To harness the full potential of this data, it's imperative to convert it into a consistent, usable format—a process facilitated by data conversion tools. These tools are integral to modern Extract, Transform, Load (ETL) workflows, enabling seamless data integration, transformation, and loading across various platforms.

Providing your analytics users the ability to get answers from their data is useful, but only if the solution can guide them to ask the right questions. The rising integration of artificial intelligence (AI) and machine learning (ML) in many business intelligence (BI) solutions has enabled new innovative approaches in combining natural language techniques with self-service analytics, resulting in helpful NLQ tools.

The manufacturing industry can benefit from AI, data and machine learning to advance manufacturing quality and productivity, minimize waste and reduce costs. With ML, manufacturers can modernize their businesses through use cases like forecasting demand, optimizing scheduling, preventing malfunctioning and managing quality. These all significantly contribute to bottom line improvement.

2025, developers use advanced tools and strategies to debug apps running in distributed systems, microservices, and modern frameworks like Flutter, React, and SwiftUI. Here’s a quick summary of the best practices to make remote debugging faster and more secure.

Modern reporting tools like Tableau and Power BI have transformed how end users visualize and analyze data. But for developers and analysts relying on REST APIs to connect these platforms to their data sources, frustrations often mount. From inconsistent data formats to performance bottlenecks, REST APIs—while powerful—weren’t built to handle the complex, high-volume demands of modern BI environments.