SQAWebinars760: AI & UI Test Strategies for Intelligent Digital Ad Tech Platform

SQAWebinars760: AI & UI Test Strategies for Intelligent Digital Ad Tech Platform

When:
June 10 2020, 1000 HRS MT

What You Gain:

  • Define testing strategy for analyzing the ‘model’ and ‘no model’ machine learning historical data which increase the audience sizes for re-targeting by more than X times their current size, and will be a critical step to offer the best possible recommendations to its clients.
  • How to set up automated tests to interact with expected behavior of media advertisements on various platforms.
  • How to affirm coverage of the automated tests, identifying key areas in the Ad configuration or set-up that renders Ad as intended.
  • Q&A

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Who Should Attend?

  • Test Engineers- Yes
  • Test Architects- Yes
  • Mobile/Automation Engineers- Yes
  • QA Managers- Yes
  • QA Directors- Yes
  • VP QA- Yes
  • CTO- Yes
  • Anyone who has curiosity to know about SQA/Testing Automation

Sponsor(s):

Inflectra  and NVP Software Solutions

Speaker(s):

Adam Sandman and Neil Price-Jones

Webinar Details:

In the bustling Ad Tech industry, we are constantly presented with challenges. These range from segmenting browsers, targeting devices, users (consumers) and even environments. Ad presentation specifications are constantly changing, as new devices are always coming onto the market. Machine Learning model techniques are adopted to engage and know the consumer preferences through ‘sentiment’ surveys or other polls. After performing automation on the newest (and oldest) mobile devices, a new connected TV device appears with unique challenges.

To conquer this, we follow a number of tests and techniques to handle the load, presentation, and user interaction. Define and develop a systematic and simple testing approach to analyze the machine learning data that use ‘models’ vs. ‘no models’ (test vs. control) and tunes the data. This presentation reviews some of those techniques such as machine learning model testing (“How many customers liked to purchase the advertised product”), A/B testing (“Determine whether changing the experience had a positive, negative, or no effect on the behavior”), UI testing (“How do the ads look under specified size players as per various targeting conditions”) and Automating the testing on multiple devices using Selenium (node js).

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