Data diversity isn’t just a checkbox in modern machine learning. It’s the foundation for building models that generalize well, remain unbiased, and perform reliably in real-world scenarios. Without diverse and representative datasets, even the most advanced algorithms will struggle with bias, underrepresentation, and generalization failures. But how do we measure “diversity” in a way that […]
The quality and quantity of AI datasets are critical to training accurate and effective models. However, gathering real-world data can be expensive, time-consuming, or even impossible in some cases. This is where the phrase βfake it until you make itβ can be applied to AI. By leveraging synthetic data, AI researchers can “fake” their way […]
Recently, the financial industry has been actively adopting AI. There is a strong movement towards building innovative services and AI-based decision-making systems by utilizing customer data. However, privacy regulations and security concerns limit the use of actual data. As a solution to this issue, the demand for synthetic data has been rapidly growing. Synthetic data […]
Custom Data 1. Introduction: A New Approach to Custom Data Data is essential across all industries, including AI. It holds immense value as it can be used for decision-making, AI training, data analysis, and more by individuals, companies, and institutions. However, many organizations, including businesses, research institutions, and even government agencies, face limitations when it […]
Diffusion Models for relational data synthesis
As privacy concerns grow in the data world, differential privacy (DP) is becoming a key tool for ensuring that sensitive information is protected while still enabling valuable analysis. A newer concept within this space is User-Level Differential Privacy (DP), which offers an alternative approach to protecting privacy when users contribute multiple data points to a dataset. […]
AI research and development heavily rely on vast amounts of training data, and free AI datasets play a crucial role in facilitating advancements in the field. These open-source datasets enables researchers and developers to experiment, prototype, and refine their models without incurring significant costs. However, while the availability of free datasets is essential for AI’s […]
The Importance of Generative AI Models Generative AI has rapidly evolved and is being actively utilized across various industries. Its ability to produce innovative and creative outcomes in fields such as natural language processing (NLP), image generation, and speech synthesis is gaining attention. However, to solve practical problems or enable commercial use, model optimization is […]
Standard Metrics for Synthetic Data
AI Data for Sale 1. Introduction As artificial intelligence (AI) technology rapidly advances, the demand for AI training data has surged. However, using real data for AI models has brought privacy and security concerns to the forefront. CUBIG, a leading company, addresses these challenges by offering an innovative solution called DTS (Data Transform System). This […]