AI/ML have become significant areas of research and development for every industry, and QA is no different. The practice of testing applications has to a large degree become dominated by the principles and patterns of software development. As with any set of tools susceptible to automation, there is the potential for even greater advances due to the application of AI and ML. But in the case of the QA industry, does the marketing behind these advances match the math?
In this session, test automation expert Jonathan Lipps examines some of the claims about AI/ML achievements in the QA industry in light of a brief introduction to AI and ML themselves, to see whether the claims are actually saying or doing anything useful.
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading global information technology, consulting and business process services company. We harness the power of cognitive computing, hyper-automation, robotics, cloud, analytics and emerging technologies to help our clients adapt to the digital world and make them successful. A company recognized globally for its comprehensive portfolio of services, strong commitment to sustainability and good corporate citizenship, we have over 240,000 dedicated employees serving clients across six continents. Together, we discover ideas and connect the dots to build a better and a bold new future.
Agile and DevOps have made Continuous Testing essential. Yet, software testing is still dominated by legacy tools and outdated processes—which don’t meet the needs of today’s digital transformation initiatives.
With the industry’s #1 Continuous Testing platform, Tricentis is recognized for reinventing software testing for DevOps. Through agile test management and advanced test automation optimized to support over 150+ technologies, we provide automated insight into the business risks of your software releases—transforming testing from a roadblock to a catalyst for innovation.
HeadSpin helps enterprises analyze and improve the user experience of their digital products through its global real device infrastructure, on the edge end-to-end testing, and ML-driven performance and quality of experience analytics.
The HeadSpin’s leading, enterprise-grade data science platform enables collaboration among global teams to accelerate release cycles, build for complex real user environments, and proactively detect and resolve issues whether at the code, device, or network layer.