The Power of Generative AI in Reducing Maintenance and Enhancing Speed

About The Video

Watch our latest episode of the LambdaTest Experience (XP) Series featuring 𝐀𝐫𝐭𝐞𝐦 𝐆𝐨𝐥𝐮𝐛𝐞𝐯, 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.

Video Chapters

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

Key Topics Covered

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 testRigor’s 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.

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