2:45 PM – 3:45 PM I TRACK 1 I BRATISLAVA
About Jonathon Wright
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 Metaverse technologies (Microsoft, Apple & Meta). 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’.
Testing in the Metaverse – Mixed Reality (XR, AR & VR)
The Metaverse blurs the boundaries between technology and the real world. The matrix of digital experiences (DX) from companies like Meta (Facebook) workspaces and Microsoft HoloLens 2.0 introduce fully immersive digital workforce collaborations within Virtual, Augmented and Mixed Reality (VR/AR/MR) worlds. This leads to complex situations such as “how do you test next generation technologies like NFTs containing digital artefacts that span across crypto wallets of testing merchandise rendered onto your 3D avatar representation of your digital twin self on your daily-standup on Microsoft Teams Mesh.
Testers place in the Metaverse to shape next generation capabilities:
Image-Based Testing (IBT) for high speed computer vision
3 take aways:
Digital personas, experiences and interactions (i.e. Polygamification)