Episode #004: Performance and the State of AI
Air Date: 01/13/2022 8:00 a.m. EST
Akamas: https://www.akamas.io/
Tricentis just dropped a bombshell in a new report about the state of Artificial Intelligence. And that’s what we’re going to talk about in today’s SMR Report. Tricentis / Sogeti Report – “State of AI applied to Quality Engineering 2021-22”
Chapter 6: https://www.sogeti.com/ai-for-qe/section-6-perform/
Written by Patrice Albert – part of NeoLoad’s product development team.
Article Summary:
- Things are more complex than ever.
- Tricentis has an AI prototype to mimic real-traffic and use this in a performance test model
“Tricentis NeoLoad has developed a prototype solution, codenamed RACHAEL, that we are validating with various enterprises that it can leverage AI to assess production traffic as a data source; detect different populations and their load curves, pacing, and think times; isolate signal from noise; extract variables, dynamic parameters, and pre-identified user paths; and more.”
The goal is to cut the time to create a real-world traffic load scenario by 50%. What would this mean to your performance testing products if this could be realized?
“Tricentis NeoLoad and its partners are currently deploying the RACHAEL prototype in several large companies across different industries for validation purposes. We have already validated the AI in controlled lab environments with increasingly complex scenarios.”
What does this mean for the future of performance testing? For Tricentis as a company? For NeoLoad users specifically? What advantages could this provide?