Today, Gaurav Mittal, an expert data science manager with over 18 years of experience, joins the podcast. In this episode, Gaurav shares his journey from manual to automation testing and delves into AI's revolutionary impact on software testing careers.
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We'll explore how open-source AI models and libraries like TensorFlow and Keras make powerful tools accessible without the price tag and discuss the crucial role of retraining machine learning models to adapt to dynamic data.
Gaurav will highlight the substantial benefits of automation in categorizing emails and its time-saving prowess. We'll also uncover the advantages of shift-left testing with AI, enhancing efficiency in the CI/CD pipeline and fostering collaboration among QA teams, developers, and project managers. Moreover, Gaurav offers a comparative insight between Selenium and the newer Playwright, advocating for the latter's superior performance.
Throughout the episode, Gaurav emphasizes the practicality of AI as an assistant rather than a necessity in automation efforts. He also provides hands-on advice for integrating open-source AI models into your processes. Stay tuned for actionable tips and incredible insights on utilizing AI to elevate your automation game—all this and more, right here on the TestGuild Automation Podcast!
