A novel synthetic data generation platform that produces private, secure and robust synthetic data for AI use cases

Descripción del proyecto

Datos sintéticos para el desarrollo de la inteligencia artificial

En los últimos años, los avances decisivos en tecnología y producción de inteligencia artificial han llevado a la adopción generalizada de soluciones de inteligencia artificial para una amplia gama de tareas y operaciones. Desgraciadamente, la dependencia de las soluciones de inteligencia artificial de la adquisición y el estudio de datos, a menudo privados, sesgados, inexactos o irrelevantes, provocó diversos problemas. Los datos sintéticos han surgido como solución. Los datos artificiales que imitan a los del mundo real no corren riesgo de violación de la intimidad y pueden procesarse libremente. El proyecto SydAi, financiado por el Consejo Europeo de Innovación, desarrollará una plataforma de datos sintéticos que proporcione a las empresas y soluciones de inteligencia artificial datos sintéticos de alta calidad y que preserven la privacidad, permitiendo una innovación y evolución de la inteligencia artificial más rápidas, éticas y eficientes.

Objetivo

The age of the artificial intelligence (AI) revolution has arrived, bringing with it numerous opportunities across key industries, including healthcare, banking, and retail. Recent studies indicate that AI has the potential to increase global GDP by EUR14.03 trillion by 2030. However, the effectiveness of AI systems has thus far been limited by a lack of access to high-quality data without infringing on privacy rights. Poor data quality—characterized by incompleteness, inaccuracies, outdated information, or irrelevance—can lead to biased predictions and erroneous decisions, affecting up to 80% of AI projects.

To address these issues, synthetic data has emerged as a potential solution. Synthetic data is artificially generated information that mirrors the statistical properties of real-world data. This data can be freely processed and used in AI model development without risking privacy breaches. However, until synthetic data can overcome its current limitations, its use remains restricted. These limitations include avoiding biases present in the original data, generating synthetic data that mimics very complex relational databases, and effectively satisfying deterministic rules.

At Aindo, we have developed SyDAi, a novel synthetic data platform that empowers companies to generate high-quality and high-privacy synthetic data. This breakthrough aims to democratize and accelerate AI innovation, enabling all industries to actively participate in the AI revolution. Unlike many existing solutions that focus on specific data types or lack the ability to handle certain statistical dependencies, our platform can generate synthetic data with advanced data formats. The innovation of this innovation has recently led to SyDAi being recognized independently by the United States National Institute of Standards and Technology (NIST) as best-in-class for optimizing the privacy-fidelity trade-off.