Dive into Discussion on on the Future of Quality: Panel Discussion | Testμ 2024!

What are the limitation of AI ??

In what ways might AI create friction to quality excellence, and how can that challenge be addressed?

How does AI help in identifying and predicting potential issues or bugs during the development cycle?

How does AI affect quality assurance?

What are some potential challenges or risks associated with relying on AI for quality excellence, and how can these be mitigated?

What do we think of AI in Software industry in Future, Do you think Software industry will have the same fate as of Mechanical Engineering, where the later boomed then due to automation its now in doomed state as compared to Software industry?

What are your thoughts on the opportunities that AI can create for QA professionals, AI models and tools itself needs to be tested first as the models needs to be fine tuned based on testing.

Sir in India is AI is really important? In our country India there are lakhs of unemployment in each and every field? Introducing an AI almost in every things in India, sir, don’t you think it will lead to more unemployment in India?

Can you shares some best practices how to use to Gen AI

Do you think AI will take jobs from the market or it will produce more jobs in the market?

How can a testing department prevent the growth of a culture of over-reliance on AI and automation?

What are some of the most effective AI-driven testing tools currently available, and how do they compare to traditional tools?"

What do you think about the idea that more reliance on AI in testing will undermine automation skills and depth learning?

@Rani Priya: So its all about the historic data feed to the data models and use it for continuous improvement ?

How do you see AI changing the role of quality assurance professionals in the next 5-10 years?

If a company has a restrictive AI policy, what cases should testing departments make to help open the door to enable AI-assisted testing?

Though AI is a buzz word, still there is a big no for bringing it into all the levels. So how to handle the security constraint issues with AI technology ?

Is it a good approach to use AI for generating testcases?

What is the limit of involving AI in software development process end-2-end?

What are the top challenges in AI-driven quality management?