We like to say that "we help small teams achieve big things". Then having graduated in 2019, I joined endjin. I was a CTO at a financial services company, but having attended some of the data lab events and with the support through their MSC program, I completed Masters in artificial intelligence right here at the University of Strathclyde. They inspired me back in 2019 to do a career pivot. In particular, I wanted to call out the Data Lab. Data Scotland is very much a community driven event, but without the backing from these sponsors, it wouldn't have been possible to host the event today and bring the community together. But before I do that, I just wanted to call out all of the wonderful sponsors who've made today's event possible. And today I'm going to talk to you about generating production quality test data at scale. He describes how this approach can be used to build better products, to test products using production quality data at production scale, and embed data quality and best practice information security practices in your engineering processes. The challenge is providing product and engineering teams with a sufficient volume of realistic looking synthetic data to enable them to design, develop and test their solutions.īarry presents open source tools and open data sources that can be used to tackle this challenge, and then demos this in action to generate thousands of synthetic customers. Many organisations provide digital products or services that need to handle personally identifiable information.
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