The Power of Generative AI in Reducing Maintenance and Enhancing Speed
Watch our latest episode of the LambdaTest Experience (XP) Series featuring ๐๐ซ๐ญ๐๐ฆ ๐๐จ๐ฅ๐ฎ๐๐๐ฏ, Co-Founder & CEO, testRigor. In the session, Artem focuses predominantly on the transformative impact of Generative AI in doing away with the monotonous maintenance of test automation. He also shares how this innovative approach can lessen the time spent on test automation by an astonishing 95%, transforming how one completes these tasks.
00:00 Welcome!
00:50 Guest Introduction
03:45 Gen AI and Test Automation
08:30 Misconception of Generative AI
16:18 Building Test Cases with Generative AI
23:20 Challenges and Limitations of Generative AI
24:52 Ensuring Reliability and Accuracy with Generative AI
28:01 Improving Product Quality with Generative AI
33:28 Calculating the ROI of Generative AI
36:15 Conclusion
Introduction and Guest Introduction:
Overview of the LambdaTest Experience Series. Introduction of Artem Golubev, Co-Founder & CEO of testRigor.
Generative AI and Test Automation:
Discussion on the transformative power of generative AI in software testing. Importance of generative AI in reducing the effort required for test automation.
Misconception of Generative AI :
Common misconceptions about the capabilities and limitations of generative AI. Emphasis on the need for human intervention and the role of manual testers in the process.
Building Test Cases with Generative AI:
Demonstration of how to create test cases using generative AI on the testRigor platform. Step-by-step process of generating and refining test cases.
Challenges and Limitations of Generative AI:
Challenges faced while implementing generative AI in test automation. How testRigor addresses these challenges to ensure reliable and accurate test automation.
Ensuring Reliability and Accuracy with Generative AI:
Comparison between traditional test automation tools and testRigorโs AI-based approach. Benefits of using generative AI to improve the reliability and accuracy of test cases.
Improving Product Quality with Generative AI:
Indirect benefits of generative AI in improving overall product quality. How generative AI facilitates better collaboration between product managers, engineers, and QA teams.
Calculating the ROI of Generative AI:
Methods to calculate the return on investment (ROI) for implementing generative AI in test automation. Importance of reducing bugs in production and enhancing overall organizational efficiency.
Generative AI: A Catalyst for Transformative Automation in Organizations
Generative AI for Efficient Test Data Generation and Management
What is Automation Testing: Benefits, Strategy and Best Practices

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