Shenzhen Data Exchange and Ant Group to Collaborate in Data Element Markets and Trading

According to reports, the Shenzhen Data Exchange and Ant Group (Ant Chain) have signed a cooperation framework agreement, and both parties will cooperate in the

Shenzhen Data Exchange and Ant Group to Collaborate in Data Element Markets and Trading

According to reports, the Shenzhen Data Exchange and Ant Group (Ant Chain) have signed a cooperation framework agreement, and both parties will cooperate in the construction of data element markets, data trading, and other aspects to jointly explore the value of data. According to the agreement, both parties will cooperate to jointly build channels for sharing high-value data, carry out special research on data compliance, and promote cooperation in technology research and connectivity such as blockchain, privacy computing, AI, etc.

Shenzhen Data Exchange: Collaborate with Ant Chain in data trading and other aspects

The Shenzhen Data Exchange and Ant Group (Ant Chain) have recently signed a cooperation framework agreement. This agreement aims to jointly explore the value of data and collaborate in the construction of data element markets and trading, among other aspects.

Building Channels for Sharing High-Value Data

Both parties have agreed to work together to build channels for sharing high-value data. This will mean the construction of platforms that can facilitate the secure and efficient transfer of valuable data between organizations. The goal is to develop a framework that is able to accommodate complex data transactions while ensuring maximum security, privacy, and compliance.

Special Research on Data Compliance

Furthermore, the Shenzhen Data Exchange and Ant Group will carry out special research on data compliance. This will involve the development of new technologies that can help ensure that data transactions comply with regulatory frameworks and other requirements. Additionally, both parties have agreed to collaborate in technology research and connectivity such as blockchain, privacy computing, AI, and more.

Exploring the Value of Data

With this collaboration, the Shenzhen Data Exchange and Ant Group are seeking to explore the value of data in new ways. The partnership between the two organizations will enable them to tap into a vast network of data sources and collaborate on the creation of value-added data products and services. This could potentially lead to the development of new business models and innovative solutions that can help organizations leverage the full potential of their data.

The Benefits for Customers

The collaboration between the Shenzhen Data Exchange and Ant Group is expected to benefit customers in a number of ways. This includes providing access to new forms of data and analytics that can help organizations make better business decisions. Additionally, customers will benefit from increased security and compliance when it comes to handling sensitive data.

Conclusion

Collaboration between the Shenzhen Data Exchange and Ant Group in the field of data element markets and trading is set to change the way businesses approach data. By building channels for sharing high-value data and carrying out special research on data compliance, both parties are paving the way for innovation and new business opportunities. The partnership is a testament to the importance of collaboration and highlights the potential of data to transform the way we do business.

FAQs

What is the Shenzhen Data Exchange?

The Shenzhen Data Exchange is a platform that provides data trading and data services for various industries. It was established by the Shenzhen government in 2016.

What is Ant Group?

Ant Group is a leading technology provider in China that offers a range of financial services and solutions. It was founded in 2004 and is headquartered in Hangzhou, China.

What is a data element market?

A data element market is a platform that facilitates the buying and selling of data elements. These elements can be any discrete piece of data, such as a customer’s name or address, that can be combined with other data elements to create more comprehensive datasets.

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