Recently, the leading domestic digital market research and consulting agency, iFenxi, officially released the 2024 iFenxi Data Element × Vendor Panorama Report. This report provides an in-depth analysis of the development of the data element industry and the specific capabilities required by vendors across various key industries, including smart manufacturing, smart rail transit, and smart healthcare. Based on research and desk studies of both enterprise clients and typical vendors, the report highlights companies with mature solutions and implementation capabilities in the data element × market. Futong Dongfang, with its exemplary application of "Ready for AI Data Services" in the field of smart healthcare, was successfully selected in the smart healthcare section of the report.
Data Element Policies Drive Industry into the Fast Lane
In recent years, the national government has continued to strengthen support for the data element market. Since the concept of data as a production element was first introduced in the top-level design in 2019, a series of related policies have been released, providing a clear path for the circulation, transaction, governance, and application of data elements. The release of the “Data Element ×” Three-Year Action Plan (2024-2026) in 2023 has provided clearer strategic guidance for the development of the data industry. The goal is to achieve an annual growth rate of more than 20% for the data industry by 2026, double the size of data transactions, and create more than 300 exemplary and highly visible typical application scenarios with wide-reaching impact.
Smart healthcare, as one of the 12 key application fields for data elements listed in the Action Plan, leverages technologies such as big data, artificial intelligence, and cloud computing to efficiently integrate and intelligently allocate healthcare resources. With the rapid development of precision medicine and personalized treatment, the healthcare industry has raised higher demands for efficient data governance and deep mining. From data collection and processing to secure sharing, the smart healthcare sector is gradually forming an innovation ecosystem centered around data.
Futong "Ready for AI" Data Services: Enhancing AI Data Readiness
By deeply integrating Al into business scenarios across various industries,meticulously refining data elements and uncovering data value, Futong DataIntelligence empowers clients to unlock the full potential of their data and enablesthem to stay ahead in the digital transformation during the Al era. At the core of Futong Data Intelligence team is the Futong Insights Engine platform, through which the company provides comprehensive "Ready for AI Data Services." These services include data ETL, business rule compliance processing, auxiliary annotation, prompt engineering, and data quality assessment, all designed to enhance AI data readiness for clients. By leveraging advanced AI technologies for comprehensive data governance and deep processing, Futong builds a business knowledge framework, forms high-quality data assets, and establishes an all-encompassing data integration and intelligent analytics platform. This platform supports data analysis, insights, and value mining, providing accurate alignment and continuous optimization for clients’ AI application scenarios.
In the field of smart healthcare, the key to data governance lies in the efficient integration and intelligent analysis of multi-source heterogeneous data, while ensuring the high-level protection of data privacy. Futong's "Ready for AI Data Services" addresses the pain points in data governance within the smart healthcare sector by creating an automated end-to-end system covering data collection, cleaning, transformation, annotation, storage, and output, which helps users achieve comprehensive improvements in data governance and application value:
Multi-source Data Collection and Cleaning: Integrating multiple types of data such as text and images, using automated algorithms to remove noise, deduplicate, handle missing and abnormal values, and filter privacy data, ensuring data integrity and consistency.
Efficient Data Annotation and Augmentation: Using automated annotation tools combined with manual verification to ensure accuracy, and employing data augmentation techniques to improve model generalization.
Intelligent Data Transformation and Quality Control: Leveraging AI-assisted code generation technologies to standardize data processing in different formats, and introducing strict quality control processes before output to ensure the data meets high industry standards.
Secure Data Storage and Output: Supporting distributed and cloud storage with flexible data encryption and access management, and offering multiple data output formats to meet various scenario requirements.
By introducing highly automated processing technologies, Futong’s "Ready for AI Data Services" significantly enhances data governance efficiency while minimizing errors caused by manual interventions, ensuring the security and reliability of the data. In the field of smart healthcare, Futong's "Ready for AI Data Services" has already been successfully applied in the development of professional multi-cancer disease databases, providing high-quality data support for personalized treatments and clinical applications.
Leading Advantages in Data Processing and AI Model Support
In the field of data processing, Futong Technology has accumulated extensive practical experience, particularly in areas such as NLP text processing, image OCR, and domain knowledge graph construction, showcasing significant advantages. These experiences not only enhance the efficiency of Futong’s data governance but also provide high-quality data support for AI models, with the following leading advantages:
Processing Efficiency: Futong boasts a comprehensive automated process capable of rapidly handling large volumes of data, significantly improving data processing efficiency. Utilizing parallel computing and batch processing technologies, Futong has experience handling high-volume datasets at the billion-level scale efficiently.
Quality Control: Futong has a strict data quality control system that includes multi-level quality checks and data audits to ensure every stage of the data meets high-quality standards, guaranteeing top-tier quality even in the face of high processing efficiency.
Automation Level: Through AI algorithms and automated annotation tools, Futong greatly reduces the manual workload, ensuring the accuracy and consistency of data processing.
Customizable Data Processing: With rich data processing experience, Futong can tailor solutions to specific application scenarios, offering highly adaptable services.
Flexible Service Models: Supporting various service invocation methods such as API calls, script command-line calls, and data flow interfaces, enabling customers to access data processing results in real-time.
While making significant progress in the smart healthcare sector, Futong's "Ready for AI Data Services" has also been successfully applied across multiple industries. In the automotive industry, for instance, Futong Auto Intelligenct team, through the deep integration of large model technologies and real business scenarios, combined with the Futong Insights Engine platform, has helped automakers efficiently consolidate multi-channel customer feedback, deeply analyze market dynamics and competitive landscapes, optimize products and services, and enhance competitiveness. Additionally, Futong's all-encompassing data integration and intelligent analytics platform supports automakers in making precise decisions regarding customer management, market strategy optimization, and product iteration, providing comprehensive decision-making support through intuitive charts and reports. Currently, Futong’s overall solutions Auto Intelligence are widely used by several domestic and joint venture automakers, receiving high levels of trust and recognition in the market, significantly improving customer market response speed and user satisfaction.
