Testing Tuesday - ADA - Generating Synthetic Data

Solve your data issues with AI
Joakim Wahlqvist – Sogeti Sweden

When the world is changing, it’s hard to keep up. The recent changes affects how and where we work. Now when development and testing needs to be done outside office boundaries, there's new challenges to test applications with relevant, non-sensitive, data. On top of the already existing challenges to get hold of useful amounts of quality assured data for testing. How do we solve this?

Joakim will present on the Artificial Data Amplifier (ADA) – and open up a new world of testing using AI to generate relevant and synthetic test data. With the ADA service you will be able to - with production data as base - generate large amounts of synthetic test data allowing the new data to become GDPR approved and completely anonymous. This gives you the ability to work in new ways where data sensitivity is not restraining you from being efficient and successful.

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ADA in a project context
Petter Lindgren – Sogeti Sweden

When data is not solely used for Testing & Quality Assurance, but also functions as an important part of the development cycle - data quality is scarce to come by.

Petter will present a case about the Swedish health sector at Region Västerbotten, where an innovative project is ongoing, using massive amounts of medical parameters to, with the help of AI, plan for the personnel setup in intensive care. Using ADA to generate data for training the Machine Learning model helps it to become more robust, and coping with bias. Petter will share how ADA can be used to enhance AI-modelling in a case context.