Dubai's Data and Statistics Authority has announced a partnership with BlueGen.ai, a company specializing in artificial intelligence solutions for synthetic data, to conduct an experimental study exploring the potential of synthetic data to enhance the quality and accuracy of workforce survey analyses.

This collaboration aligns with the strategic vision of Dubai Digital, which focuses on adopting cutting-edge AI technologies to enhance the impact of statistical data in decision-making processes.

Synthetic data offers an innovative solution that allows for the development of precise AI models while ensuring data privacy is maintained and enhancing the quality of economic and social analyses.

Moreover, synthetic data provides a secure and effective training environment for AI systems, aiding in the development of advanced analytical tools capable of simulating real-world data patterns without exposing original datasets to security risks or regulatory violations.

Younes Al Naser, CEO of Dubai Data and Statistics Authority, stated that data serves as the backbone of decision-making and a key driver of development in this era of digital transformation.

However, he emphasized that the biggest challenge lies in balancing data-driven innovation with governance that considers social, cultural, and legal privacy, including that of individuals and institutions.

Thus, the use of synthetic data has emerged as a practical approach adopted by Dubai Digital and the Dubai Data and Statistics Authority to make the most of data and convert it into value, consistent with their strategy to digitize life and position Dubai as a leading global model in digital transformation.

Al Naser further highlighted that the partnership with BlueGen.ai reflects Dubai Digital's commitment to enhancing collaboration with esteemed institutions in the field of data and artificial intelligence, based on the belief that all stakeholders share the responsibility for digitalization and shaping the future.

Naseeba Al Marzouqi, Director of Prices and Cost of Living Statistics, also underscored the significance of this collaboration, noting that synthetic data represents a qualitative leap in the field of statistics as it allows for the recreation of data that mimics reality without compromising privacy, which contributes to developing more accurate and reliable analytical models.

The project has produced a comprehensive analytical report detailing the outcomes of the experimental study.

This report showcases the effectiveness of generative models of synthetic data in improving data representation in the labor market, such as unemployment rates across different demographic groups, while preserving the accuracy of statistical indicators.

Additionally, the report addresses the challenges encountered, the innovative solutions implemented, and the future recommendations for utilizing synthetic data in the development of official statistics.