Produce Your Own Private Synthetic Data Locally: CUBIG’s DTS and its 5 Strong Key Features
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In the AI-driven age, data privacy and accessibility are paramount concerns for businesses across the globe. CUBIG’s innovative DTS(Data Transformation System) addresses these concerns by providing a seamless and secure way! With this you can generate private synthetic data which is very similar with your own data directly on your local servers. Hereโs a closer look at how DTS is transforming the landscape of data management and utilization.
What is DTS?
The Data Transformation System (DTS) is a comprehensive program developed by CUBIG that allows data owners to create private synthetic data themselves, directly on their local servers. This system is designed as a SaaS (Software as a Service) model, which can be subscribed to on a monthly basis. With DTS, businesses can effortlessly transform their data into private synthetic data using a powerful API. Additionally, while it is primarily offered as a SaaS solution, it is also available in an API format that can be easily integrated into a company’s workflow.
Key Features and Benefits of DTS
1. Direct Local Production
This program enables companies to produce differentially privacy-protected synthetic data locally on their own servers. This approach ensures that sensitive data never leaves the organizationโs environment, providing an added layer of security and control.
2. API Integration
The DTS API allows for easy integration with existing systems, enabling businesses to automate the synthetic data generation process. This feature is particularly beneficial for companies looking to incorporate private data practices into their workflows without significant overhead.
3. Security and Privacy
DTS is equipped with CUBIG’s proprietary differential privacy technologies. These technologies ensure that all synthetic data maintains the statistical properties of the original data while eliminating any risk of re-identification, thereby fully protecting sensitive information in original data.
4. User-Friendly Interface
For those preferring a more hands-on approach, DTS also offers a user-friendly GUI. This interface allows users to generate synthetic data effortlessly through a drag-and-drop feature, simplifying the process for users without extensive technical knowledge .
5. Versatile Usage and Revenue Generation
It supports both private and public use. For private use, it ensures that sensitive data is not exposed outside the organization, adhering to internal security protocols.
For public use, it allows the transformed data to be uploaded to marketplaces, facilitating data sharing and revenue generation. In this case, you can get some profit with your own private synthetic data with our data market place, azoo.
Applications of Private Synthetic Data
Private synthetic data generated by DTS can be used across various domains such as healthcare, finance, legal, and more. This data retains the statistical properties of the original data without containing any actual sensitive information, making it ideal for research, testing, and AI model training.
Growth and Future Prospects
The market for synthetic data is growing rapidly. According to Gartner, by 2030, synthetic data is expected to completely replace real data for AI model training. CUBIG is at the forefront of this transformation, continually enhancing DTS to meet the evolving needs of data security and accessibility.
Conclusion
CUBIGโs Data Transform System is a revolutionary tool that addresses the critical needs of data privacy and accessibility in todayโs digital landscape. By enabling easy, secure, and efficient generation of synthetic data directly on local servers, DTS not only protects sensitive information but also opens up new avenues for data utilization in business. As the world moves towards a more data-driven future, DTS stands out as a pivotal innovation, ensuring that data management is both secure and accessible.
For more information on how DTS can benefit your organization, visit CUBIGโs official website and explore the comprehensive solutions they offer.
Reference
https://www.gartner.com/en/newsroom/press-releases/2022-06-22-is-synthetic-data-the-future-of-ai