Smart Data Foundry (Formerly GOFCoE) Data Science team continues to explore and learn techniques for generating synthetic data. They took part in a week-long synthetic data challenge, organised by the High-Level Group for Modernisation of Official Statistics (HLG-MOS) to continue this journey.
You can watch a short 5-minute video shown below that walks you through their approach to testing different methods and techniques for synthetic data generation, plus you can access the slides the team pulled together for further reading below
Access the team slides here.
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Reaping Real Social and Societal Benefits from Synthetic Financial Data
Chief Data Scientist, Nick Radcliffe, of Smart Data Foundry (formerly GOFCoE ) recently talked about the exciting emerging world of synthetic data at the FinTech Scotland Festival. This Festival was held in Scotland late 2021.
Synthetic Data
At Smart Data Foundry we’re passionate about maintaining peoples privacy. Creating synthetic datasets helps to achieve this, by having the same essential patterns and relationships as the corresponding real datasets but containing only artificial people and events. Using synthetic data allows innovators and researchers to work safely with data without exposing sensitive information.
Introducing Smart Data Foundry
As we come into 2022, we wanted to reflect our original purpose but on a broader platform and so we are launching under the name of Smart Data Foundry. An organisation designed to unlock financial data for good – not only to do good but also to create social impact that lasts for good.