Jonathon Wright

Jonathon Wright

Chief Evangelist, Keysight


Jonathon Wright is a strategic thought leader and distinguished technology evangelist. He specializes in emerging technologies, innovation, and automation, and has more than 25 years of international commercial experience within global organizations. Jonathon combines his extensive practical experience and leadership with insights into real-world adoption of Cognitive Engineering (Enterprise and Generative AI). Thus, he is frequently in demand as a speaker at international conferences such as TEDx, Gartner, Oracle, AI Summit, ITWeb, EuroSTAR, STAREast, STARWest, UKSTAR, Guild Conferences, Swiss Testing Days, Unicom, DevOps Summit, TestExpo and Vivit Community.

In his spare time he is the QA advisory lead for MIT for the COVID Paths Check foundation throughout the Coronavirus pandemic. He is also a member of Harvard Business Council, A.I. Alliance for the European Commission, chair of the review committee for the ISO-IEC 29119 part 8 “Model-Based Testing” and part 11 for the “Testing of A.I. based systems” for the British Computer Society (BCS SIGiST). Jonathon also hosts the QA lead (based in Canada) and the author of several award-winning books (2010 – 2022) the latest with Rex Black on ‘AI for Testing’.


How to implementation of next-gen of Generative AI: Spatial, Autonomous & Ubiquitous computing capabilities. Industry-focused offline LLMs with real-world examples of Autonomous Design Automation (ADA) for auto-generation of digital twins and associated code. Supercharge your organization AI transformation playbook to emphasizes averting investments in ‘prompt engineering’ without AI strategic blueprints and lessons learnt from real world engagements.

Learning Objectives:

  • ChatGPT can help testers generate automation scripts, API tests, and requirements with ease, even if they’re not fluent in these areas.
  • ChatGPT has the potential to provide context-aware guidance for testers working in various industries, such as finance, legal, and medical.
  • Testers can use ChatGPT to generate tests that achieve a high level of coverage, improving the quality of the software.
  • ChatGPT can fit nicely into a test-driven development regime, making it easier for developers to write and run tests as they code.
  • Future capabilities, like image uploads, can enable ChatGPT to analyze web pages or mobile apps and provide detailed test scenarios.
  • Combining domain knowledge with ChatGPT’s testing expertise could lead to a powerful synergy for testers across industries.

View Jonathon Wright’s video