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Synthetic Data in Testing

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Manage episode 480852871 series 1008390
Content provided by Adrian Maynard. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Adrian Maynard or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

In this episode, Matthew Heusser and Michael Larsen welcome Pat Rinaldo and Naresh Kumar Nunna to discuss the importance of synthetic test data for organizations that handle large amounts of customer data and cannot use real data due to privacy concerns. Ally Bank, working with Qualitest, has successfully leveraged synthetic data to enable faster innovation and testing for its automotive and insurance applications.

Pat and Naresh discuss ways that they have been able to generate diverse and representative test data to cover a wide range of scenarios, provide significant improvements in test coverage, regression testing speed, and reduction in defects escaping to production, to allow teams to focus on innovation rather than data management and compliance.

  continue reading

147 episodes

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Synthetic Data in Testing

The Testing Show

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Manage episode 480852871 series 1008390
Content provided by Adrian Maynard. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Adrian Maynard or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

In this episode, Matthew Heusser and Michael Larsen welcome Pat Rinaldo and Naresh Kumar Nunna to discuss the importance of synthetic test data for organizations that handle large amounts of customer data and cannot use real data due to privacy concerns. Ally Bank, working with Qualitest, has successfully leveraged synthetic data to enable faster innovation and testing for its automotive and insurance applications.

Pat and Naresh discuss ways that they have been able to generate diverse and representative test data to cover a wide range of scenarios, provide significant improvements in test coverage, regression testing speed, and reduction in defects escaping to production, to allow teams to focus on innovation rather than data management and compliance.

  continue reading

147 episodes

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