Ant Tech Unveils DataX Platform to Turn Raw Data into Actionable Insights

As artificial intelligence technology enters a period of widespread application, optimizing data element allocation efficiency has become a key industry focus. On April 28, Ant Data officially launched the DataX intelligent agent data ecosystem platform at the 9th Digital China Construction Summit. By integrating the Model Context Protocol (MCP) and the professional intelligent agent DTClaw, it simplifies data access and accelerates the conversion of data into business value.

Traditional approaches often face challenges such as lengthy integration cycles, complex data comprehension, and difficulties in cross-platform adaptation when moving data from raw sources to business applications. DataX's technical foundation transforms conventional data services into standardized MCP protocols, significantly enhancing AI integration efficiency. Furthermore, DataX incorporates Ant Data's mature DTClaw intelligent agent capabilities, packaging complex data processing logic and industry best practices into ready-to-use Skills and Agents for immediate deployment. Additionally, DataX features a knowledge base built on data graphs, enabling intelligent orchestration of data applications and efficient retrieval of data insights through natural language.

The DataX platform aggregates an extensive library of Skills covering privacy computing, data processing, data operations, and data applications. By leveraging accumulated industry expertise and lowering technical barriers, it assists enterprises in rapidly developing professional intelligent agents for data-driven business scenarios. Throughout the data circulation process, these specialized Skills are deeply integrated into three critical stages: supply, circulation, and demand. On the supply side, data processing and value assessment Skills improve the efficiency of packaging data products. On the circulation side, privacy computing Skills ensure data security, while data operation Skills enhance matching efficiency. On the demand side, the platform facilitates collaboration with industry ISVs and develops domain-specific Skills to address real-world business needs.

Ant Data has years of practical experience in data element scenarios. Its FAIR Trusted Data Space platform has successfully passed 100% of the functional tests conducted by the National Data Standards Committee for Trusted Data Spaces, making it one of the first platforms in China to achieve this certification. It is already deployed in key provinces and cities such as Xi'an and Jilin, serving as a core component of local data hubs. The launch of DataX signifies that Ant Data's FAIR platform has evolved from a "foundational trusted technology product" to a "data intelligence value platform," which is poised to accelerate the large-scale transformation of data elements into tangible productive forces.