How to automate test data generation to save time, money and headaches

Register for this event

Joint Webinar with

Join us on Tuesday, September 13, 2022 at 4 pm CEST/10 am EST

The quality and speed of testing hinges on test data. No matter how well you design your tests, if the test data lacks realism and fails to pose challenges to the software, test automation implementation will fail. So far, testers resorted to painfully slow manual test data generation with often rudimentary results. Others join the dark side and copy production data to test environments.

Some still believe that old-school data anonymization tools are sufficient, even though they no longer are. This webinar will introduce new tools to help automate test data generation and testing with the power of AI. No need for testers to be developers or data scientists. Knowing what tools to use will save the day, and we’ll give you all the knowledge you need to use them in your day-to-day tasks.

  • How adoption falters without good data

  • How security is an issue in your testing environment

  • Why data privacy and anonymization is not what it was 10 years ago

  • How you need greater control over your data to widen the scope of testing

  • Why synthetic data solves all of the above

  • How to generate synthetic data and use it in automated testing

Your host

Andrew Doughty: CRO and co-founder at Virtuoso, Andy believed there was a real opportunity to make a difference to how companies carried out testing through a combination of bold thinking and new technology. He has extensive experience working with companies, helping them improve the way they approach test automation

James Bent is our Virtuoso's VP of Solutions Engineering with a vast and detailed knowledge of automation. He keeps things simple even when talking about the most technical of topics or dealing with dynamic applications. When not empowering people to test at speed and scale in the cloud, he can be found on the courts of his local tennis club.

Mario Scriminaci joined MOSTLY AI in 2021 and owns responsibility for the products of the company. Prior to joining MOSTLY AI, he worked for more than ten years at ContentWise, where his last position was VP Product Management and Research. He started his career as a software engineer and data scientist before pursuing his passion for designing beautiful products that bring value to their users. He holds a Bachelor's and Master's degree in Computer Engineering for Intelligent Systems from the University of Palermo.