~/panel

AI for Testing – Panel Discussion

on YouTube 43m
Panelat HUSTEF 2019 · 2019-10-28..10-30· [testing, machine-learning]

speaker

name:none on file

resources

video:https://youtu.be/TRdWNhCwA40
slides:none on file

summary

Panelists describe concrete systems: retest offers AI as a service that runs an intelligent crawler, finds obvious defects, and produces golden masters plus executable tests to drop into CI/CD. Demos and pilots target exploratory, accessibility and performance checks, compare static versus dynamically learning models, and rely on AutoML-style tooling and production monitoring. Claims emphasize ROI and reduced tester fatigue; watch if you want working prototypes, tool names, and lessons from real deployments.

AI-written summary · about

chapters (7)

  1. 0:00Start
  2. 13:19Don't you think that we are going too fast abc are still doing manual testing but we are afraid
  3. 14:06When it comes to the datasets used for AI, sort of governance reduce the chances of Al
  4. 29:21What services in society do you think would and how?
  5. 33:54How about user experience? Does Al do th
  6. 38:22What are the other possible efficient implica life of an average human taking into account
  7. 40:40Is it possible to use Al for Ul optimization? L actions then suggesting design changes?

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