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Automated Solution To Solve Regression Issues
AI tools are everywhere nowadays, and it’s common to hear them being discussed in the context of test automation. Many AI tools are free to use but are closed source, and many are paid or proprietary. In this webinar, I will give a brief overview of the space and open with a discussion of a survey on GenAI use for test automation. Then, we will explore together the open source AI models and tools that can be used to assist with test automation and make comments about the suitability of the open source ecosystem as well as ideas for future development. The open source world (for example, Selenium and Appium) has traditionally been a critical component of automated testing at scale. Will the same be true in an AI-assisted future?
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HeadSpin helps Telcos, media organizations, and large 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 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. HeadSpin currently works alongside a number of global telco and media organizations today to:
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