Blogs

Artificial intelligence (AI) has become an integral part of modern software, driving innovation across industries from healthcare to finance. However, as AI systems increasingly influence critical decisions, concerns around bias, fairness, and ethical implications have come to the forefront. Quality Assurance (QA) professionals are uniquely positioned to address these challenges, ensuring that AI systems are not only functional but also equitable and ethical.

An AI testing tool includes machine learning (ML), natural processing language (NLP), and predictive analysis that helps in improving testing methodologies. This tool simulates a human tester, allowing for faster testing, smart identification, and automation that continues to learn how to avoid false positives over time.

Some of the popular AI tools people and corporations are using now include ChatGPT, Google Gemini, and Microsoft Copilot. This has resulted in higher usage and adoption of this technology and this has caused some worry among people, particularly in terms of employment.

In this digital world, we all love to know about this trending world brilliant event of StarWest Conference 2024. Also, everyone who is connected with the testing community knows about this event. Everyone is excited to know, How STARWEST 2024 became the most-discussed software testing event of the year? This event started from September 22 to 27 and in this event, brilliant-minded testing experts participated in shared innovation, learning, and networking in Anaheim, California. This hybrid event wasn’t just another conference; it was a glimpse into the future of software testing.

STARWEST 2024 was not just a conference; it was a vibrant hub of exploring knowledge and exploration into the transformative realm of generative AI and software testing. At this event, we started day 2 with an energetic workshop of "Evaluating and Testing Generative AI: Insights and Strategies", led by Jason Arbon, CEO of Checkie.AI, which covered the complex challenges of testing AI systems like ChatGPT and LLAMA. He shared strategies for AI validation, focusing on managing unpredictable outputs, ethical concerns, and ensuring continuous monitoring.

Welcome to the era of AI, a new technique that holds the potential to improve the quality of software as well as cut costs. This blog explores how AI is revolutionizing software testing, highlighting the opportunities and future prospects of this innovative technology.

Testers turn to AI for mobile app testing to navigate the complexity of modern apps with smarter, faster, and more reliable methods. AI tools can learn from data, predict outcomes, and automate tasks, which means they can efficiently handle the repetitive and intricate aspects of testing, allowing testers to focus on more strategic activities.

We live in a hyper-competitive mobile app landscape and speedy deliveries are mandatory.

Welcome to the beginner’s guide to API testing! In this guide, we’ll guide you through the basics of API testing, its importance, best practices, and popular tools.