🧐 A Look at Possibilities of Using AI in

In this session, Rahul Verma delves into the possibilities of AI in testing. With the rise of Generative AI, the landscape of testing is evolving rapidly, presenting both opportunities and challenges. Rahul explores the potential applications of AI in testing and discusses where companies are focusing their efforts today, as well as the missed opportunities.
As a tester, Rahul approaches the topic with a healthy dose of skepticism, acknowledging the contradictions inherent in exploring AI in testing. Whether you're curious about the future of testing or seeking insights into AI's role in the field, this presentation offers valuable perspectives and reflections.
This video is of one of the sessions presented at #QonfX - Embracing The Future of #Testing Conference, 2024.
#AutomationTesting #TestAutomation #AI #AIinTesting #TheTestTribe
About Speaker:
Rahul is a Consulting Tester and Coach with an experience of 20+ years of experiments. He works with Trendig, a German company specializing in this space, and is also known to be the force behind the renowned Agile Testing Days conference. He has presented, conducted workshops, and published articles on a wide range of subjects related to Quality in various conferences and forums, internationally. As a coach, he has trained hundreds of professionals on Quality from a pluralistic standpoint.
Connect with Rahul on LinkedIn - / rahul-verma-india
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[@kamleshrehpade1376]

Very informative session ❤

[@Udzial]

AI is not always right
AI is not always wrong
AI is not to be used everywhere
AI will not replace all humans, few it can
AI will coexist instead of replacing
AI cannot replace testing , it can assist in some portions of testing
Keep experimenting and learning about it.
Thanks @thetesttribe and @rahulverma

[@elenagavrilova3109]

Not sure I understand the objective clearly. Speaker said he is not an AI person, but the topic is Possibilities of using AI in software testing. LLM have different purposes, when there will be LLM trained on all QA data of IT world it will give relatively precise and meaningful outcome. However even nowadays a number of AI tools exist, not in a form of LLM, even jira has AI plugin for test cases creation, it really helps to save time on boring routine. A couple of years more and ... QA can be significantly reshaped