Synthetic data is newly created data that mimics the characteristics of original data, providing an important alternative that replicates the traits of existing datasets while solving issues such as the protection of personal information. The advancement of artificial intelligence and machine learning has enabled the creation of realistic and diverse new data. This contributes to […]
In the era of advanced AI technologies, the secure utilization of customer data is paramount. security and personal data protection of AI models handling sensitive information have become even more prominent issues. Among the cutting-edge tools available, Data Transformation Service (DTS) plays a crucial role in ensuring the safety and effectiveness of this process. In […]
In the rapidly advancing landscape of artificial intelligence (AI), securing quality training data has become a paramount concern. The axiom “To build a good AI model, you need good training data” holds truer ever. The results produced by AI models are heavily influenced by the quality and characteristics of the training data. One significant challenge […]
Today, many industries are striving to integrate AI into their systems and technologies. Business competitiveness increasingly hinges on the ability to predict consumer demand and provide personalized services. A well-trained AI model can achieve this with speed and accuracy, so making AI investment is becoming a key focus for business advancement. However, implementing AI is […]
Leading the way in data innovation, CUBIG utilizes differential privacy to craft synthetic datasets with up to 99% statistical value compared to the original data. This unparalleled statistical value significantly enhances AI engine training performance, resulting in outstanding outcomes. Our sythetic datasets maintain statistica value nearly indistinguishable from original data, enabling customers to effectively train […]