Jinglianwen Technology is the leading data supplier in the AI basic industry and can assist artificial intelligence companies to solve corresponding problems in the data annotation link in the entire artificial intelligence chain.
With the advent of a new round of global AI boom, large amounts of training data have become an indispensable factor in promoting the progress and evolution of AI algorithm models. The quality and quantity of data directly affect the results of model training and performance optimization. High-quality AI data helps improve the service capabilities of artificial intelligence applications.
According to relevant statistics, my country's data element market size has reached 81.5 billion yuan in 2022, and it is expected that by 2025, the domestic data annotation market size will exceed the 10 billion yuan mark. This growth trend reflects the dynamism of the data annotation market and the increasing demand for data services.
For the data annotation industry, future development will face challenges such as the expanding market scale, intensified competition, and rising technical thresholds. At the same time, there are also huge opportunities. For example, the rapid development of AI large models provides broad development space for data annotation. . For data service providers, they need to continuously improve their technical strength, refined management capabilities, and process control capabilities to adapt to changing market demands and seize development opportunities.
Currently, many technology companies focusing on vertical fields are actively developing large models for specific industries to improve the level of intelligence in specific fields. Among them, education, medical care, business, finance and other fields are particularly active in exploring large models. It is foreseeable that high-efficiency and high-quality AI data solutions will greatly promote the rapid development and implementation of related industries.
Taking the smart education industry as an example, Jinglianwen Technology uses self-developed text annotation tools to perform various operations such as text classification, summarization, relationship annotation, and translation writing on educational knowledge data to train large language models; it can automatically analyze and understand Text content, accurately classify and summarize the text; it can identify various relationships in the text, conduct in-depth semantic understanding, and provide more comprehensive and accurate data for the model. Comprehensive upgrades have been carried out in many aspects such as data closed-loop capabilities, automatic annotation capabilities, data management tool chains, and manual performance evaluation. This solution has positive implications for the education sector.
Jinglianwen Technology has reached in-depth cooperation with 500+ technology manufacturers and government research institutes around the world. It has been selected into the data annotation company rankings of the Chinese Academy of Sciences' "Internet Weekly" for three consecutive years, selected into the IDC China AI Large Model Ecological Map, participated in the formulation of 7 national data security standards, and obtained a total of 44 software copyrights, utility models and invention patents, and won the "National "High-tech Enterprise", and is a member of several industry associations such as the Biometric Identification Subcommittee and the Artificial Intelligence Subcommittee of the National Beacon Committee.
Jinglianwen Technology currently has four large-scale data processing bases across the country and 1,000+ full-time annotation employees. The self-developed intelligent annotation platform covers annotation workbench and production capacity management system, supports AI algorithm preprocessing, provides semi-automatic auxiliary annotation, automatic quality inspection and other functions, and has complete data processing capabilities in all fields of voice, image, text and video. It has passed ISO9001, ISO27001, ISO27701 and other international certifications, delivering high-quality AI data for algorithm models in various fields such as smart education, smart medical care, smart driving, smart cities, smart homes, smart finance, smart security, and new retail.
Jinglianwen Technology｜Data Collection｜Data Annotation
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