Summary
The speaker discussed the significance of sponsors in supporting the event and engaged the audience in a conversation about AI usage in the Robot Framework. They shared personal experiences, highlighting AI's capability in manual testing through tasks like creating chatbots, checking edge cases, and providing test data generation for email and database validations. The speaker also demonstrated AI's role in automating Robot Framework tests and integrating with Jira for maintenance tickets and test result analysis. Emphasizing the need for critical thinking and oversight when using AI for testing, they touched on security concerns and plans to explore open-source models in the future.
Introduction and Sponsor Acknowledgement
The speaker greets the audience and acknowledges the sponsors, emphasizing the importance of their support for the event.
Usage of AI in Work
The speaker engages the audience by asking questions about their AI usage, leading into a discussion on the pros and cons of generative AI in the Robot Framework.
Personal Experience with AI
The speaker shares personal experiences with AI, including daily usage and the creation of an AI startup focused on digitalization.
Using AI for Manual Testing
Demonstrating how AI can assist in manual testing by creating chatbots, checking edge cases, and providing usability and security testing.
AI for Test Data Generation
The speaker explains how AI can help in test data generation, showcasing examples like email input validation and database table validation.
AI Automation in Robot Framework
Discussion on using AI for automation in Robot Framework, generating Robot Framework tests and keywords from input images or text.
AI Integration with Jira
Exploring the integration of AI with Jira for creating maintenance tickets and automating test result analysis.
Building Confidence in Test Results
Addressing the importance of maintaining oversight and critical thinking when using AI for testing to ensure confidence in the results.
Security Concerns and Future Plans
The speaker addresses security concerns when uploading sensitive data to AI platforms and discusses plans to consider open-source models in the future.
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