Synthetic data is artificially generated data designed to reflect the patterns and characteristics found in real world data. It is increasingly discussed as a potential tool for addressing long standing challenges around data access, privacy, and data sharing. Synthetic data can be generated using a range of techniques, including rule-based statistical methods and more complex AI models, and is often used for training and evaluating AI systems, testing software, and developing analytics tools. 

Some proponents of synthetic data usage argue that, when properly designed, synthetic data can offer stronger privacy protections, which may lower barriers to data use and sharing particularly in highly regulated markets. Synthetic data can also mitigate data scarcity by creating larger or more diverse datasets, that include rare or edge-case data points that may not appear in sufficient volume in real-world data. 

However, important questions remain. It is not always clear how closely synthetic data reflects real world conditions, whether it captures the complexity of real-world phenomena and data generation, and how much there is a risk it may repeat biases, gaps, or assumptions. If synthetic data is not carefully tested and validated, it may lead to poor quality insights. Ethical and governance questions also need careful attention, including how synthetic data is created, validated, and used responsibly. 

This session will : 

  • Explore both the opportunities and the limits of synthetic data 
  • Look at emerging tools and providers 
  • Discuss how synthetic data could promote data privacy  
  • Illustrate where synthetic appears to offer clear value versus where it may introduce new risks 
  • Consider these developments mean for the future of data access and AI use in UK businesses. 

The format includes a dedicated Q&A segment so you can put your own questions to the experts.  

Confirmed Speakers

Emma  Rushworth

Emma Rushworth

Data transformation, Capita

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Dr June  Brawner

Dr June Brawner

Senior Policy Adviser, Data and Digital Technologies at the Royal Society,

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Markus Trengrove

Markus Trengrove

Head of AI Policy, GSK

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Don't miss out! Secure your spot now! 

For more information about the Data Vision Series, please contact the team below:

Kir Nuthi

Kir Nuthi

Head of AI and Data, techUK

Usman Ikhlaq

Usman Ikhlaq

Programme Manager - Artificial Intelligence, techUK



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