OpenPie Was Selected For The "High-Quality Digital Transformation Products and Services Landscape Map" of CAICT in The Three Major Categories
OCTOBER 25TH, 2024

On September 24th, the 2024 Large Model Digital Ecosystem Development Conference and "Foundation Casting Plan" mid-year meeting hosted by the China Academy of Information and Communications Technology(hereinafter referred to as “CAICT”), were held in Beijing. The plan was jointly initiated by the China Telecommunication Technology Labs(CTTL-Terminals) of the CAICT and the Internet Society of China. At the conference, the CAICT officially released multiple authoritative certifications in the field such as large model digitalization. 


OpenPie leveraging its profound accumulation and technological innovation in the fields of data computing and AI, with its product "Large Model Data Computing System PieDataCS," was successfully selected for the 2024 "High-Quality Digital Transformation Products and Services Landscape Map" (hereinafter referred to as the "Landscape Map") in the three major categories of "Artificial Intelligence," "Data Analysis," and "Technology Development." This is also the second time that OpenPie’s products have been selected for the Foundation Casting Plan. 


OpenPie Was Selected For The “Landscape Map” of CAICT


Concurrently, OpenPie’s digital transformation solution based on PieDataCS was selected for the 2024 "Artificial Intelligence Technology Solution Set" (hereinafter referred to as the "Solution Set"). 


OpenPie Was Selected For The “Solution Set” of CAICT


With the rapid development of technology and the increasingly fierce market competition, digital transformation has become key to the sustained growth and competitive edge of enterprises. OpenPie has developed eMPP (elastic MPP) distributed technology and reconstructed data storage and computing based on cloud-native technology. It has reshaped data computing engines such as virtual warehouses, vectors, and machine learning, creating a closed-loop product matrix in the field of data computing and empowering industry digital transformation in all aspects.


PieDataCS: Powering AI Era with Three Leading Data Computing Engines


PieCloudDB:Data Foundation for Digital Transformation


In the process of digital transformation, databases, as the core infrastructure of enterprise data management, play an essential role. They help enterprises establish competition barriers centered on data assets, support complex queries and analyses, and assist enterprises in extracting valuable information from data, thereby optimizing decision-making, business processes, and customer experiences. 


OpenPie's large model data computing system, PieDataCS, features its first data computing engine, the cloud-native virtual data warehouse PieCloudDB Database. Through data warehouse virtualization technology, it helps enterprises build a unified data analysis platform that can be flexibly computed on-demand, breaking data silos and achieving centralized and efficient utilization of data resources, providing a solid data foundation for digital transformation.


PieCloudVector: Designed for Multimodal AI Applications


With the explosive growth of enterprise data and the rapid development of artificial intelligence, traditional databases struggle to handle multimodal data processing needs. The emergence of vector databases provides enterprises with a brand-new solution. By uniformly converting unstructured data into vector form, vector databases can quickly retrieve and compare data, achieving efficient queries. 


The second data computing engine under PieDataCS, the cloud-native vector database PieCloudVector, is an analytical database upgrade for the large model era. It supports efficient storage and querying of vector data, helps enterprises in rapid adaptation and secondary development in AI scenarios, and assists enterprises in quickly meeting technological development needs in the AI era.


PieCloudML: Build for Multimodal Large Models


Artificial intelligence is fundamentally changing the process of digital transformation. With the help of AI technologies such as machine learning, enterprises can continuously explore innovative potential, optimize business processes, improve operational efficiency, and maintain a leading position in fierce market competition. 


The third data computing engine under PieDataCS, PieCloudML, integrates multimodal data resources and provides powerful data computing support for multimodal large models. It supports machine learning tasks of varying scales and needs and is fully compatible with mainstream machine learning ecosystems, enabling enterprises to more effectively develop and deploy machine learning models and further accelerate the process of digital transformation.


This recognition by the CAICT fully reflects OpenPie's technical strength and innovative capabilities. In the future, OpenPie will continue to focus on the field of data computing and further explore digital scenario applications based on large models, providing customers with superior digital transformation solutions.

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