Wisdom empowers all industries! Cloud measurement data selected as typical cases of artificial intelligence integrated development and security application in 2023

Recently, the 2023 China International Fair for Trade in Services Artificial Intelligence Integrated Development and Security Application Forum was successfully held in Beijing. During the meeting, the "2023 Typical Cases of Artificial Intelligence Integrated Development and Security Application of "Intelligence Empowering Hundreds of Industries" initiated by the National Industrial Information Security Development Research Center of the Ministry of Industry and Information Technology was released. The "Cloud Measurement Data Annotation Platform" independently developed by Cloud Measurement Data was successfully selected as a typical case of "Intelligence Enlightenment" and has been widely recognized by the industry for its advanced technology and application effects

"Intelligence Empowers All Industries" 2023 typical cases of artificial intelligence integrated development and safe application are the National Industrial Information Security Development Research Center's efforts to seize the development opportunities of artificial intelligence and truly understand the current status of the integrated development and safe application of artificial intelligence technology in my country. A selection activity initiated to promote industrial development through the demonstration and promotion of typical cases. The selected cases not only possess independent intellectual property rights, but are also representative and iconic in terms of technological advancement and industrial application, and have strong reference significance for industry development. This selection is the full recognition and affirmation of Cloud Test Data by the National Industrial Information Security Development Research Center, and also proves Cloud Test Data’s efforts in promoting the implementation of the artificial intelligence industry as the leading domestic artificial intelligence data service provider

In order to provide a high-quality data base for artificial intelligence, Cloud Test Data is committed to intelligentizing all walks of life

As the implementation of artificial intelligence technology continues to accelerate in various industries, data quality and efficiency have become the new common pursuit of the industry. If you want to use "good data" to train "good AI" and implement AI applications efficiently and with high quality, it is essential to improve the engineering capabilities and system capabilities of data collection and annotation software. Against this background, Cloud Test Data has developed a data annotation platform with independent intellectual property rights based on its rich data processing experience to better serve the needs of artificial intelligence data processing.

AI data training comprehensive efficiency increased by 200%

The cloud measurement data annotation platform provides enterprises with the ability to process large-scale sensing data, which can help enterprises increase the overall efficiency of AI data training by 200% and annotation accuracy up to 99.99%. Combined with data-in-the-loop, the input of human processing is further reduced by introducing models to output pre-recognition results; in the later stages of the iteration, personnel only process key high-value data and review and verify AI-assisted annotation results, and labor costs gradually decrease.

Taking autonomous driving as an example, using the cloud testing data annotation platform can realize data cleaning and annotation work in the closed-loop DataOps data of car companies. Compared with the original process, the circulation efficiency has been increased by two times

Data management continues to leverage the value of artificial intelligence data

The cloud testing data annotation platform realizes the sustainable management of AI data, continues to accumulate higher quality and higher value data, and forms data advantages. In terms of data security, large-capacity data processing, data mining, data enhancement, etc., it can greatly improve the use efficiency and secondary mining value of data, and can carry out hierarchical data retrieval and data asset management capabilities to improve team collaboration efficiency and continue to Mining the value of AI data

In the field of artificial intelligence, to realize the value transformation of AI data, we first need to have engineering capabilities for data processing, which is also an indispensable guarantee. Only on an annotation platform with engineering capabilities can developers in the field of artificial intelligence create more possibilities and help AI technologies such as knowledge graphs, natural language processing, and machine learning/deep learning to be implemented in a wider range of implementation scenarios. Boundary expansion and application implementation

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