Systems | Development | Analytics | API | Testing

Technology

Robust JavaScript Error Handling: Best Practices and Tools

By combining custom errors, named functions, and Bugfender, you can create a robust JavaScript error-handling process that allows you to immediately identify the defects of your JavaScript apps. This article shows you some strategies, approaches, and best practices to ensure you create high-quality and high-performing JavaScript applications. Table of Contents.

The Rise of ML-Centric Technology Consulting in 2024 and Beyond

Businesses globally are witnessing the transformational impact of applied AI and machine learning (ML) capabilities during this blossoming chapter of the Information Age. Therefore, the demand for niche ML consulting services will continue its robust growth trajectory as we enter the year 2024. An increasing number of enterprises are partnering with ML specialists and boutique tech consultants to craft their AI-driven future.

Overcoming Critical Challenges in Mobile Game Testing

Mobile game testers must consider several aspects when delivering flawless user experiences. Since customers often play across several devices and platforms, consistent experiences aren’t just necessary, they are an expectation. This is what makes mobile game testing different from mobile app testing. Unlike typical apps, mobile game testing is less repeatable and regimented. Unscripted user actions, born out of individual player habits, introduce an element of unpredictability.

2024's Top Data + AI Predictions in Advertising, Media and Entertainment

It’s not hyperbole to say that generative AI (gen AI) is radically transforming the advertising, media and entertainment industry. There has been widespread excitement about the potential of gen AI to open brand-new creative opportunities and unlock unprecedented efficiencies. At the same time, there has been understandable concern about issues such as inherent bias, deep fakes and the impact of gen AI on jobs.

Myth vs. reality: 10 AI use cases in test automation today

For decades, the sci-fi dream of simply speaking to your device and having it perform tasks for you seemed far-fetched. In the realm of test automation and quality assurance, this dream is inching closer to reality. With the evolution of generative AI, we’re prompted to explore what’s truly feasible. Embedding AI into your quality engineering processes becomes imperative as IT infrastructures become increasingly complex and integrated, spanning multiple applications across business processes.

Episode 1: Why everything doesn't need to be generative AI | Rocket Software

Generative AI has everyone talking, but has that buzz overshadowed the potential of predictive AI? We talked with Parag Shah, Senior Director of Data and Analytics at Rocket Software, to explore the hype and hope around both generative and predictive AI.

What is the Dual Write Problem? | Designing Event-Driven Microservices

The dual write problem occurs when you try to write to two separate systems and need them to be atomic. If one write fails, and the other succeeds, you can end up with inconsistent state. This is an easy trap to fall into, and it can be difficult to avoid. We'll explore what causes the dual-write problem and explore both valid and invalid solutions to it.