The era of intelligence is accelerating, and the development of artificial intelligence still needs data support

In 2023, the popularity of artificial intelligence exceeds people’s imagination. The launch of ChatGPT ignited the artificial intelligence craze. Since then, a series of applications based on large artificial intelligence models have gradually made us realize that today's artificial intelligence is no longer just a simple "voice assistant", but can help or replace specific human work in various industries to a certain extent.

Behind the rapid development of artificial intelligence, the rapid development of artificial intelligence technology based on machine learning depends on the richness of the underlying big data. A powerful model requires a data set containing a large number of samples as a basis. The quality and diversity of the data will have a significant impact on the success or failure of algorithm models. High-precision AI data delivery not only helps the AI ​​industry implement scenarios, but also brings a better user experience, and further accelerates the arrival of the intelligent era, driving computing power, Revitalization of fields such as algorithms.

In the process of promoting the practical application of artificial intelligence in different fields, improving AI data quality standards has become an important issue of widespread concern in the industry. As artificial intelligence technology penetrates into many industry fields such as driverless driving, smart medical care, and voice interaction, the requirements for AI data dimension and sample complexity are becoming increasingly higher. IDC research found that customer groups that actively participate in digital transformation have demands for AI data services, among which five dimensions: annotation quality, annotation efficiency, knowledge and experience, data security, and overall cost, constitute users’ capability requirements for AI data service providers.

Data is crucial to the development of artificial intelligence. As a leader in the field of artificial intelligence data services, Cloud Test Data aims at data needs and development trends in the artificial intelligence era, and is based on high-quality, scenario-based AI training data services. Through the "triple helix" of data products, data processing tools and data services, Provide high-efficiency, high-quality, multi-dimensional, scenario-based data services and strategies for industries such as smart driving, smart cities, smart IoT, and smart finance, and continue to provide mainstream AI technologies such as computer vision, speech recognition, natural language processing, and knowledge graphs. Provide high-value data support in the field.

Cloud Test Data has always focused on technology research and development and updates, and has launched "Cloud Test Data Annotation Platform", "AI Data Set Management System" and other technical achievements. Through structural innovation, intelligence, engineering, and standardized annotation platform products, we empower the AI ​​training data industry and design scientific and standardized data processing processes from task creation to final acceptance, which greatly accelerates the iteration of artificial intelligence-related applications. cycle, helping enterprises to increase the overall efficiency of AI data training by 200% and the labeling accuracy up to 99.99%. Its continuous output of high-quality, scenario-based AI data has accelerated the development of the artificial intelligence industry and significantly improved the large-scale implementation of Al applications.

In the formulation of industry standards, Cloud Measurement Data has participated in the preparation of "Intelligent Connected Vehicle Lidar Point Cloud Data Labeling Requirements and Methods" and "Intelligent Connected Vehicle Scene Data Image Labeling Requirements and Methods" to assist artificial intelligence Data services have been developed in a standardized manner in the field of implementation. It is understood that Cloud Test Data also participated in the preparation of the world's first AI model development and management standard released by the Cloud Computing and Big Data Institute of the China Academy of Information and Communications Technology (CAICT Cloud Institute), which also highlights the Cloud Test Data Leading practices in artificial intelligence data.

The efforts of cloud measurement data have been unanimously recognized by the industry and the media, and have successively won the "2022 Trusted AI Case Artificial Intelligence Platform Application Benchmark Case", "2022 Artificial Intelligence Annual Selection Best Service Platform Award," "Star 20: 2023 China AI Data Platform Innovation Enterprise" and other valuable awards demonstrate its advancement and hard power in the technical field. Currently, its technology platform has been applied to automobiles, security, mobile phones, home furnishings, finance, education, new retail, and real estate. and other industries, quickly respond to the diverse needs of AI training data in different scenarios.

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