If your application users encounter any glitches during their interactions, it could drive away your potential customers and result in revenue losses. Application testing plays a crucial role in ensuring your software runs smoothly.
In this roundtable discussion, we delve into the advantages of data-driven testing and how AI is revolutionizing testing by enabling data-driven analysis and predictive insights, ultimately leading to more reliable and high-performing applications.
We explore innovative approaches to harnessing test data, moving beyond traditional pass/fail metrics to gain valuable insights that guide continuous improvement.
Join us to learn:
Principal Engineer & Architect at Tricentis for over two decades, Liem has worked as an engineering leader and architect across various disciplines from microprocessor design to server, storage, networking, and cloud computing. His expertise includes data-driven automation, cloud-native architecture, microservices, API management, big data, and the application of AI in software development and testing. He is also a big proponent of open-source software and has contributed to various Linux Foundation projects, including OpenDaylight and Openstack.