Dubai Data and Statistics Establishment teams up with BlueGen.ai

Dubai Data and Statistics Establishment teams up with BlueGen.ai
Image Credits: Digital Dubai | Cropped by GBN
By News Desk, GCC Business News

Dubai Data and Statistics Establishment, an integral part of Digital Dubai, has collaborated with BlueGen.ai to carry out an experimental study focused on exploring the potential of synthetic data in enhancing the quality and accuracy of labor force analyses.

This collaboration comes as part of Digital Dubai’s vision on embracing advanced AI technologies to amplify the impact of statistical data in decision-making. Synthetic data provides a cutting-edge solution, enabling the development of precise AI models while ensuring data privacy and enhancing the quality of economic and social analysis.

Additionally, it offers 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.

Dubai Data and Statistics teams up with BlueGen.ai
Younus Al Nasser
CEO – Dubai Data and Statistics Establishment

“Data is the backbone of decision-making and a primary driver of development in this era of digital transformation. The greatest challenge, however, lies in balancing data-driven innovation with governance that respects social, cultural, and legal considerations, including privacy at both individual and institutional levels. To address this, the Dubai Data and Statistics Establishment, part of Digital Dubai, has embraced synthetic data as a practical solution to maximize data value and extract meaningful insights—fully aligned with our strategy to digitize life and solidify Dubai’s position as a global leader in digital transformation. Our collaboration with BlueGen.ai underscores Digital Dubai’s commitment to fostering partnerships with leading institutions in data and artificial intelligence. We believe that driving digital transformation and shaping the future is a collective effort—one that ensures the benefits of human-centered advancements contribute to economic growth and sustainable development.”

Nusaiba Al Marzooqi, Manager of Prices and Cost of Living Statistics at the Dubai Data and Statistics Establishment, added that, “Synthetic data marks a major advancement in statistics, 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, an in-depth report has been released, offering insights from the experimental study. This report outlines the potential 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.

The report also highlights the challenges faced; the innovative solutions implemented and provide future recommendations for leveraging synthetic data to advance official statistics.

The study’s findings contribute to the development of new methodologies, supporting the digital transformation of official statistics, in line with Dubai’s vision to emerge as the global capital of digital data. The report further clarifies the role of synthetic data 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.

As part of the report’s outcomes, Dubai Data and Statistics Establishment, in collaboration with BlueGen.ai will explore opportunities to expand the application of these methodologies on a broader scale. This will open the door for the adoption of synthetic data as an integral part of decision-making processes and the analysis of future statistical data in Dubai.

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