I will be discussing the role of AI and machine learning in enhancing test automation, such as improving test coverage, reducing maintenance efforts, and identifying test cases more intelligently.
Talk Takeaways
Larry Goddard, the Test Automation Architect at Oxford University Press (OUP), Fractional CTO to Start-ups, Author, Speaker, Mentor, Ethical AI Advocate, Open Source Contributor, and creator of klassi-js (Test automation framework), boasts over two decades of experience in the IT industry. His journey includes roles for a major airline, leading software testing companies, telecommunications giants, He also acted as a technical advisor to a major fashion house and an Expert Witness to a leading international law firm.
Larry’s expertise spans a diverse array of domains, including Quality Assurance, AI in Test Automation, AI in Business, Test Automation, Mentorship, and Career Advice. His contributions have been acknowledged through accolades such as the Oxford Artificial Intelligence Programme 2023, YunoJuno Award (2016, 2022), and finalist positions in the Black Tech Achievement Award (2023, 2024) and Lambdatest Delta Awards in Testing 2023.
Larry actively impacts the industry through speaking engagements dealing with and highlighting Test Automation, Quality Assurance, AI in Automation, Leadership Development, he also provides guidance through Mentorship initiatives with organizations like the Aleto Foundation, Black Girls in Tech, Bridging Barriers, and the Founders Institute.
Beyond his professional life, he’s a dedicated father, a former international rugby player (represented Trinidad and Tobago), ex- military, a certified physical training instructor and a Level 1 Olympic track and field official.