Jason Arbon is one of the leading global thought leaders in leveraging AI for testing. He is the CEO at test.ai where his mission is to test all the world's apps. Google’s AI investment arm led test.ai’s latest funding round. Jason previously worked on several large-scale products: web search at Google and Bing, the web browsers Chrome and Internet Explorer, operating systems such as Windows and ChromeOS, and crowd-sourced testing infrastructure and data at uTest.com. Jason has also co-authored books such as How Google Tests Software and App Quality: Secrets for Agile App Teams.
TestOps with AI
Testing doesn’t need to be a bottleneck in the development lifecycle any more thanks to the application of AI. Until recently, only developers and operations had operational metrics on quality and performance, aka DevOps. AI finally makes testing reliable enough for continual execution, fast enough for operations, and scalable enough to deliver benchmarking and trending of software quality. The most sophisticated software teams in the world are now moving to TestOps. TestOps speeds up delivery. TestOps is the automation of end-to-end testing, across platforms, feature flags, and deployment environments. TestOps involves the benchmarking and trending of data to quantify quality. Jason will give you a glimpse into the world of the largest software projects where testing is integrated with operations. He also shares experiences around what data is the most important, and for which roles: developers, product managers, directors, and testers. Join Jason as he shows how AI at the technical level can be leveraged to enable TestOps.
Testing with AI Panel (Panelist)
For most of us, the evolution of IT started with the invention of the PC and internet. The next major innovation came with the advent of smartphones. Today we are engulfed with IoT and AI solutions everywhere you turn. AI and ML technologies are being used in platforms for digital assistants, home entertainment, medical diagnosis, customer support, and autonomous vehicles. Testers are recognizing the potential for advances in AI and ML to be leveraged for automated testing. But where do we get started? In some cases the term AI is overused - so what is defined as true AI vs. "something else"? Join us for this 90-minute interactive panel to explore these questions and more.
Learn how AI is currently being leveraged for testing today
Where to get started with using AI in your testing organization
What are the challenges and limitations of testing with AI?
How will AI impact the entire IT industry?