STAREAST 2025 - Big Data, Analytics, AI/Machine Learning for Testing
Sunday, April 27
Fundamentals of AI—ICAgile Certification (ICP-FAI)
Wednesday, April 30
AI/ML SDET: A Title Change or a New Role?
Artificial Intelligence/Machine Learning Software Development Engineer in Test. What a title! But what does that person even do? Are they using AI/ML to test software? Are they testing AI or ML? This isn’t just a title change for a software tester, this is really a mind shift and tool change. What if you don’t even have a UI in which to test your product? What if you don’t ship a UI or even a product? The world of software is changing with advancements in AI/ML and it is time to make sure we level up our testing abilities to match the revolution. Join Kevin as he walks you through his...
Is Your Playbook for Generative AI in Test Automation on Point?
Generative AI allows us to create test automation scripts really fast, but how can we be sure the outcome is truly complete? In this talk, Julio will discuss the critical process of how to define your prompts and evaluate if the results from AI-driven test automation creation cover all the necessary bases. He will bring a playbook for GenAI in test automation created based on the results of research that collected advice and feedback from dozens of test automation engineers. In the session, Julio will discuss practical examples of the mindset, a set of steps to be followed when using...
Panel - Revolutionizing Test Automation: The Impact of Generative AI on Quality Engineering
As Generative AI rapidly reshapes how we work, its impact on quality engineering and more specifically test automation is profound. Join our panel of AI and testing experts as they dive into how Gen AI is transforming testing practices, from creating smarter automation frameworks to redefining manual testing roles. Explore cutting-edge tools, discuss the challenges of integrating AI into test strategies, and debate the ethical implications of AI-driven quality engineering. This thought-provoking session will be driven by your questions and thus provide actionable insights, inspire...
Thursday, May 1
Automating the Testing of AI/ML Models: Tools, Skills, and Best Practices
As AI and ML models become integral to software systems, ensuring their accuracy and reliability through effective testing is paramount. Traditional testing approaches often fall short in addressing the unique challenges posed by these models, such as handling large datasets, verifying model predictions, and maintaining robustness against data drift. This presentation explores Otis Elevator's journey in automating the testing of AI/ML models using cutting-edge tools and techniques. Ayisha Tabbassum's team faced significant hurdles in manually testing their AI models, from the sheer volume...
Friday, May 2
Balancing AI Innovations with Fundamental QA Principles
The pressure to adopt new technologies like AI and automation without a strong foundation in core QA principles is fraught with risk. Jumping into AI without understanding how to best leverage AI within QA for business success can cause quality issues. But lagging behind your competitors when it comes to utilizing AI can result in loss of market share. Join Igor Dorovskikh as he guides QA leaders on creating a balanced approach that integrates the use of AI capabilities within essential QA fundamentals. You'll learn how to define and implement these core principles, identify the pitfalls...