AI Data Dilemma and Perfect Solution: Can We Achieve Both Data Privacy and Utilization? (10/11)

AI Data

Introduction

For AI models to learn effectively, a large amount of data is required. Without proper access to data, the speed and quality of AI development can be significantly hindered. Acquiring the right data for AI has become an essential task. However, industries like finance, healthcare, and the military face challenges when it comes to utilizing sensitive data due to privacy concerns. A new paradigm, synthetic data, is emerging as a solution to this problem.

The Data Challenge: Sensitive Information and Limited Utilization

Sharing original data for AI training presents not only legal and ethical issues but also significant risks regarding privacy protection. For instance, if an AI model is trained on an image of someone’s face with a pimple, it contains sensitive information that can be used to identify the individual. As a result, using or sharing this data externally becomes impossible, slowing down AI development.

A traditional approach to this problem is anonymization, where sensitive parts of the data are removed. However, this method often leads to a loss of crucial information, reducing the overall value of the data.

Moreover, older synthetic data techniques often transformed the original data too much, making it less useful for training AI models.

The DTS Solution: The Birth of Secure and Effective Synthetic Data

To address these issues, CUBIG presents the DTS (Private Synthetic Data) solution. DTS generates synthetic data that preserves the statistical characteristics of the original data while ensuring no individual can be identified. This enables the protection of sensitive information while allowing AI models to train on meaningful data.

Solving the AI Data Dilemma

CUBIG’s DTS solution can generate synthetic data across various domains, including images, text, and tabular data. This opens up new opportunities for industries to utilize data securely without sacrificing its utility.

The Future of DTS: Maximizing Data Utilization

CUBIG’s DTS solution is not just a tool for AI model training but a key solution for securely utilizing data across all industries. Fields such as finance, healthcare, and the military, which handle sensitive data, can maximize the value of their data while protecting it. The original data remains secure, but AI learning based on that data becomes more accessible and productive.

We hope that all companies will adopt CUBIG’s DTS solution to privately utilize their data while maximizing its value. The balance between privacy protection and data utilization is now possible with DTS.

CUBIG is the company that not only creates AI data through synthetic data generation but also provides comprehensive solutions for utilizing, trading, analyzing, transforming, generating, and verifying both AI data and synthetic data.

If you’re interested in learning more about the company that developed DTS and the website supporting it, please visit our site through the link below.

Company: CUBIG

DTS & AZOO: AZOO