How AI in Automation Testing Can Boost Your Career Success: Strategies from Jason Arbon | Testμ 2024

Testμ Conference 2024
#21

What challenges might testers face when incorporating AI in testing, and how can overcoming these lead to career advancement?

#22

Is prompt engineering the most crucial skill to pick up (or build on) these days for testers?1

#23

Are there any Certifications available for learning Cloude

#24

How easy is it to maintain AI scripts. What kind of effort is needed when there is high fluctuation in coding

#25

What is the best way to test perormance of AI models as responses got changed evry time you give prompt?

#26

You said LLMs are only works good in bulk, and any individual anecdote doesn’t prove that the LLMs are not working good. But usually people use it this way (e.g. chatbots). Isn’t that an unrealistic argument?

#27

Can you suggest how we might cut through the marketing hype and tell if something is AI?

#28

Please suggest codeless automation AI tools if possible

#29

What kind of learning would you recommend regarding AI for someone moving from testing to team leading?

#30

What are the best strategies to learn the appropriate deep/critical thinking skills that make testers better able to work better with AI and automation?

#31

Given enough context, could an AI help find bottlenecks in software lifecycle process?

#32

Whats is the implementation cost for introducing AI tools in the mix, if using available solutions from market?

#33

I get AI testing websites / writing automation overall by just pointing to it. However, how would it deal with A/B testing that we do before pushing out features?

#34

How can testers avoid the common pitfalls of AI tools that generate excessive test cases & instead focus on value-driven automation?

#35

Would the AI test scripts also be similar to manual test scripts in the sense that they can wear out too

#36

What is the top most certification to learn AI?

#37

Can give some good sources to get educated on basic and advanced AI Testing?

#38

Answer:- A key strategy is leveraging AI to handle repetitive and time-consuming tasks, such as regression testing or data analysis. By automating these mundane aspects of testing, you free up time to focus on high-value activities like exploratory testing or complex problem-solving, which can increase your visibility and position you as a more strategic asset to your organization.

#39

Jason provided examples of testers who Answer:-transitioned into AI-focused roles, moving from manual testing to leading AI automation initiatives. One standout case was a tester who implemented AI-powered defect prediction tools, which reduced bug detection time by 40%. This initiative earned them a promotion to a lead testing role, highlighting how AI contributions can directly impact career progression.

#40

Answer:- Start by identifying how your existing testing skills apply to AI. For example:

  • Test scenario design helps you understand how to train AI models with relevant test cases.
  • Exploratory testing enhances your ability to validate AI predictions or find edge cases AI might miss. You can also start learning AI-related tools and techniques that align with your current expertise, such as AI-based automation frameworks.