This initiative aligns with Digital Dubai's strategic vision of adopting advanced AI technologies to enhance statistical data's impact on decision-making. Synthetic data offers an innovative solution that enables the development of precise AI models while ensuring data privacy and enhancing the quality of economic and social analysis. It also provides a secure and effective training environment for AI systems, facilitating the development of advanced analytical tools capable of simulating real-world data patterns without exposing original data to security risks or violating regulatory frameworks.
His Excellency Younus Al Nasser, CEO of DDSE, emphasized the significance of data in decision-making and development during this era of digital transformation. He highlighted the challenge of balancing data-driven innovation with governance that respects social, cultural, and legal considerations, including privacy at both individual and institutional levels. Al Nasser stated that DDSE has embraced synthetic data as a practical solution to maximize data value and extract meaningful insights, aligning with their strategy to digitize life and solidify Dubai’s position as a global leader in digital transformation.
Nusaiba Al Marzooqi, Manager of Prices and Cost of Living Statistics at DDSE, underscored the transformative potential of synthetic data in the field of statistics. She noted that synthetic data represents a significant advancement, enabling the creation of realistic datasets while safeguarding privacy. This innovation enhances the accuracy and reliability of analytical models and serves as a strategic tool for training AI algorithms in a secure environment. By reflecting market patterns and economic shifts, synthetic data improves predictive accuracy and strengthens data-driven decision-making.
As part of the project's outcomes, a comprehensive analytical report has been released, detailing the findings of the experimental study. The report highlights the effectiveness of generative models of synthetic data in enhancing the representation of labor market data, such as unemployment rates across different population groups, without compromising the accuracy of statistical indicators. It also addresses the challenges encountered, the innovative solutions implemented, and provides future recommendations for utilizing synthetic data to advance official statistics.
The findings of this study contribute to the development of new methodologies that support the digital transformation of official statistics, in line with Dubai’s ambition to become the global capital of digital data. The report also enhances understanding of how synthetic data can serve as a supportive tool for official statistics while ensuring the highest standards of accuracy and transparency in providing data to decision-makers and the public.
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