Generative AI has raised concerns among some embedded systems engineers about potential job impacts. From our point of view, AI can actually enhance, but not replace, the work of embedded systems testing professionals.
Embedded systems testing requires deep hardware, software, and interaction expertise to ensure mission-critical reliability, performance and safety. This specialised skill level is currently difficult for AI to replicate.
However, as we said, while generative AI may not fully replace human embedded testing experts, it can streamline and improve various testing aspects such as the automated Test Case Generation, defect detection and debugging, reporting…
So, what should we do as Embedded Systems Engineers?
To fully leverage generative AI benefits, you must upskill and deeply understand these technologies. By effectively using AI tools, you will enhance productivity, improve work quality, and deliver better embedded systems.
Generative AI is an opportunity for embedded testing professionals to enhance skills and stay relevant in evolving technology.
We can say that learning how to use AI in embedded testing is almost a necessity. That is why at QA&TEST Embedded conference, we are dedicating an entire track to Artificial Intelligence, approaching it from two different perspectives:
- How to use AI to Enhance Testing
- How to test AI-based embedded systems
By dedicating a whole track to this topic, we aim to provide attendees with a thorough understanding of the role of AI in embedded testing.
Will you miss QA&TEST this year? Register now!
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