The State of Test Data in 2022

Home / Explore / Events and webinars / The State of Test Data in 2022

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

When? April 12, 2022 at 3pm BST / 4pm CET

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 organisations admit that testers don’t always comply with security and privacy regulations^[1]. Around half of organisations 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 will outline how organisations today can capitalise 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, will walk you through the key insights of this landmark research. Test data veteran, Huw Price, will then 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. A live demo will then highlight techniques for making complete and compliant data available on-the-fly, including applications of AI to automate quality gates across the SDLC.

Huw Price

Huw Price is a test data management veteran and a serial entrepreneur, now founder of his fifth software start-up. Huw’s 30 years of experience in software delivery has brought collaboration with a wide range of organisations, large and small. He has crafted strategies and innovative technologies for test data success, on projects ranging from large-scale migrations from mainframe to open systems, to building best-of-breed test automation frameworks for microservices.

Antoine Aymer

Antoine Aymer is a passionate technologist whose contributions to quality assurance date back to his time at Mercury Interactive in the early 2000s. Antoine is today the Chief Technology Officer for Sogeti’s quality engineering business, where he is responsible for bringing new solutions and services to market. An avid researcher, Antoine co-authored the 2016 "Mobile Analytics Playbook". He is furthermore the Chief Editor of the 2021-22 "State of AI applied to Quality Engineering" report, a Main Report Author of more than one "Continuous Testing Report", an author of the "World Quality Report", and a co-author of "The State of Performance Engineering 2020" report.

The live webinar will take place on the 12th of April, 2022, at 3pm BST / 4pm CET. Register today for live and on demand access.

[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.

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.

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.

Cookies	Description
Registered visitor cookie	Cookie given to each registered user.
Registered visitor functionality cookie	Cookies used to remember the unique identifier given to each registered user.
Social plug-in content sharing cookie	Cookies set by services such as Facebook Connect or Twitter Button, which allow social networks users to share the content of our websites on social networks.
Unregistered visitor cookie	Cookies used to give to unregistered users a unique identifier in order to recognize them and to analyze how they use the website.
Analytic cookie	Cookies used to store URLs of the previous page visited, enabling to track users navigating from inside or from outside the website. If you click on a Sogeti advertisement on a non-Sogeti website, a cookie may be used to log which website you are on, in order to ensure our advertisements are served effectively and to measure whether our advertisements are viewed. Google Analytics: cookies set by Google analytics are used for web analytical purpose, but are not used to track individual users. For further information on how Google Analytics collects and uses information on our behalf and the right to use such cookies, please refer to the Google Analytics products and services privacy statement. If you object to your Personal Data being collected by Google Analytics, you may download and install the Google Analytics Opt-out Browser Add-on. Pardot: cookies set by Pardot are used to track users on our website. Visits are tracked for known users only. Unknown users are recorded as anonymous users. Please refer to Pardot privacy policy for any further information on their use and your rights related to the use of such cookies.