EVENT
ARTIFICIAL INTELLIGENCE

The State of Test Data in 2022

New Challenges, Opportunities, and the Role of “AI”.

Avoid Test Data Bottlenecks

In 2022, test data management remains one of the greatest costs, risks, and bottlenecks across many SDLCs. The use of potentially sensitive production data is rising, at a time when nearly half of organizations admit that testers don’t always comply with security and privacy regulations[1]. Around half of organizations further report that they don’t have sufficient data for all their testing, and half again that they cannot access the right test environments in a timely manner. Test data today appears to be the place to reduce costly compliance risks, unblock stifled releases, and deliver quality at speed in 2022.

This webinar (conducted live on April 12, 2022) outlined how organizations today can capitalize on emerging trends and technologies to resolve perennial test data challenges. Antoine Aymer, Chief Editor of the 2021-2022 “State of AI Applied to Quality Engineering” report, walked the attendees through the key insights of this landmark research. Test data veteran, Huw Price, then proceeded to highlight how evolutions in software delivery have added complexity to test data challenges, but also often present the key to resolving these test data needs. This was followed by a live demo that showcased techniques for making complete and compliant data available on-the-fly, including applications of AI to automate quality gates across the SDLC.

[1] All statistics have been taken from The World Quality Report 2021-22, Pp. 31-2. Retrieved from the World Quality Report on 14/02/2022.

 

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Speakers

State of AI applied to Quality Engineering 2021-22

AI is becoming essential for Quality Engineering.

With our new report, understand how Artificial Intelligence may help increase the quality, velocity, and efficiency of your Quality Engineering activities.

Read more

State of AI applied to Quality Engineering 2021-22

AI is becoming essential for Quality Engineering.

With our new report, understand how Artificial Intelligence may help increase the quality, velocity, and efficiency of your Quality Engineering activities.

Read more

 

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