Jiuzhang Yunji DataCanvas APS machine learning platform received the "Leading Class" rating from the China ICT Institute

2022-08-09 17:45 0

/ Aswen Tong/August 09, 2022 Guangzhou -- China Academy of Information and Communications Technology (CAICT) (hereinafter referred to as "CAICT") recently conducted the third round of product capability evaluation of 2022 "Trusted AI" -- artificial intelligence development platform. Yunji DataCanvas APS machine learning platform has passed the evaluation of "Product capability of AI Development Platform -- Model Construction" for its outstanding end-to-end modeling capability of the whole process, and obtained the "Leading Level (Level 4)" rating, which is the highest rating passed by a technology company at present.

Yunji DataCanvas APS machine learning platform through AI development platform product capabity-model building leading Level (Level 4) evaluation

Since China ICT Center started AI third-party evaluation work in 2018, in the process of AI engineering implementation, With outstanding problems such as uneven product capabilities, lack of industry benchmarks and benchmarks, difficulties in user selection, unclear implementation of safety and trustworthiness requirements, etc., the "trusted AI" evaluation system has been formed through continuous construction and improvement of assessment and testing standards, software and hardware testing environment and other basic capabilities. The third round of "Trusted AI" - product capability evaluation of AI development platform is carried out this time, aiming to further promote the industrial level of AI technology, enhance the credibility of users on product selection, and serve the whole process of purchasing and using AI products for enterprises. The product capability rating aims to objectively evaluate the technology and product level of AI development platforms, according to the China Information and Communication Academy. The module evaluation of "Product capability of AI Development Platform - Model Construction" participated by Jiuzhang DataCanvas is an important part of product capability evaluation. The model building module includes two technical fields of traditional learning and deep learning. It evaluates 64 basic functions and 25 advanced functions in the modeling process, covering classic model building functions such as algorithm management, feature engineering, model development, model training, model evaluation and automatic learning.

The Yunji DataCanvas APS machine learning platform was rated "Leading Level (Level 4)" in this evaluation based on its functional advantages of full-process automation model building. This "trusted AI" evaluation once again verified Jiuzhang Cloud Ji DataCanvas APS automatic machine learning platform industry leadership.

DataCanvas APS machine learning platform, the core product of data intelligence independently developed by Jiuzhang Yunji DataCanvas, is a one-stop automated data analysis and modeling platform for data scientists. It integrates data preparation, feature engineering, algorithm implementation, model development, model release and model engineering management, and improves the efficiency of all aspects of modeling through automatic machine learning (AutoML) technology. It further significantly lowers the threshold of AI construction for government and enterprise users, rapidly builds model application and realizes model mass production. Thus enabling the realization of intelligent upgrading of government and enterprises.

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China ICT said that artificial intelligence has a strong industrial enabling effect, in the process of the implementation of artificial intelligence technology, the construction of artificial intelligence infrastructure platform is very important, complete and easy to use artificial intelligence infrastructure platform can accelerate the development and implementation of artificial intelligence applications. As a leading provider of data intelligence infrastructure software, Jiuzhang Yunji DataCanvas will rely on its own technology precipitation and industry application experience, adhere to independent innovation, give full play to the industry's leading role, and accelerate the innovative and integrated application of AI technology in various industries.

Source: Corporate press release
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