Data and Digitalization Service Solution
所属分类: Consumer IoT
产品简介:Leveraging its technical expertise in AI, Jingshi Data++ has developed the proprietary "Yueying Data Service Platform", providing customers across computer vision, natural language processing, intelligent speech, and autonomous driving with data consulting and an integrated solution for data production, cleaning, annotation, and business digitalization. Data++ strictly complies with personal-information and privacy-protection laws and uses measures such as encrypted transmission to ensure data security.
产品详情
Development Trends

High-quality Data Requirements
As AI model accuracy keeps improving, high-quality test data becomes a fundamental element supporting AI training

Low-cost Data Production
Large-scale AI training and application is a new trend; low-cost, reliable data production is the prerequisite for efficient AI “training and application”

Data Scale Supports Transformation
Industry digital transformation and AI application require teams to produce large-scale data as a supporting condition

Industry Understanding First
Digital transformation of traditional enterprises relies on professional organizations, led by industry know-how and supported by new technologies such as “AI, big data, and IoT”, built through joint effort
Solution Overview
Leveraging its leading AI technology and insight into data needs across diverse industry scenarios, Jingshi Data++ independently developed the “Yueying Data Service Platform”, providing industry customers with full-process solutions for data “production, cleaning, annotation, and business digitalization”. While ensuring data security and privacy, it delivers data efficiently and with high quality through streamlined processes and an efficient quality-inspection system.

Core Advantages
Data Security
Multiple encryption algorithms keep the data-production process from leaking; annotation devices with monitoring and traceability keep customer data safe and reliable
Data Privacy Protection
Based on comprehensive data-grading standards, sensitive data is identified and strictly desensitized, and private data is de-identified to prevent malicious localization. A sound data-exit mechanism can, at the user’s request, revoke the storage and use of related private data to protect personal privacy

Quality and Scale
A scientific data quality-inspection process keeps delivered data stable and reliable. With eight data-resource annotation centers nationwide, it has global data-production resources
Platform Integration Driven
With years of practical experience in data services and the proprietary Yueying platform, it delivers multi-dimensional capabilities such as “workforce-efficiency management, project process control, and security assurance” for full-lifecycle data management


