On September 10, the 2025 China International Fair for Trade in Services (CIFTIS) officially opened at Shougang Park in Beijing. As one of the fair’s key parallel events, the Beijing Artificial Intelligence Ecosystem Partner Conference was held concurrently, jointly organized by the Organizing Committee of the Global Digital Economy Conference, the Global Digital Economy Cities Alliance, People’s Daily Beijing Bureau, and the Beijing Municipal Bureau of Economy and Information Technology.
Centered on the theme “Ecosystem Collaboration · Co-creating the Future — Building a New Paradigm for AI Ecosystem Synergy,” the conference highlighted the official launch of the Beijing Artificial Intelligence Partner Program 2.0, with a strong focus on resource collaboration and scenario-driven implementation. During the event, the Beijing AI-Empowered Industry Innovation Standard Case Repository was formally inaugurated, calling for exemplary cases across the city to establish new benchmarks for AI-driven industrial innovation.
Two projects submitted by Futong Technology—the Automotive Industry Voice of the Customer (VoC) Intelligent Insight Project and the Futong iCore DataFab Medical Disease-Specific Database Project—were successfully selected for inclusion and officially released at the conference. These cases comprehensively demonstrate Futong Technology’s AI innovation and large-scale implementation capabilities in the automotive and healthcare sectors. Both projects feature strong scenario reproducibility and high promotion value, offering replicable references for intelligent operations and data-driven decision-making across industries.
Futong iCore DataFab Medical Disease-Specific Database Project
Targeting the growing demand for deep analysis of multidimensional cancer data in precision medicine and personalized treatment, this project aims to build high-quality disease-specific databases covering multiple cancer types, providing robust data support for clinical diagnosis, scientific research, and medical decision-making.
Leveraging Futong iCore DataFab, Futong Technology established a full lifecycle closed-loop management framework spanning data collection, cleansing, annotation, model training, transformation, quality inspection, and output, enabling efficient governance and standardized utilization of medical data.
Core Capabilities:
Intelligent Multi-source Data Collection and Cleansing
Integration of diverse data types—including text and images—with automated denoising, deduplication, and data completion to ensure integrity and consistency.High-precision Data Annotation and Model Training
Combining automated labeling with expert manual validation to support knowledge representation and relationship extraction, followed by machine learning and deep learning training for reliable clinical and research applications.Multi-format Data Output and Application
Generated databases can be directly integrated into research platforms for clinical studies and scientific analysis, supporting multiple data formats to meet diverse usage requirements.
Following implementation, the project successfully built comprehensive professional databases for multiple cancer types. Through refined model training and optimization, data accuracy and model performance were significantly enhanced, providing solid support for clinical practice and scientific research.
Technological Leadership and Replicability
Based on Futong Technology’s proprietary AI and medical patents, the project demonstrates industry-leading capabilities in large-scale medical data processing, knowledge representation, and intelligent analytics. Futong iCore DataFab delivers a highly efficient, precise, and controllable end-to-end technical system with full automation across data acquisition, cleansing, annotation, model training, and output.
The project establishes a standardized data governance and intelligent insight loop, enabling rapid adaptation to different cancer types and medical institutions. Its core capabilities are also transferable to data-intensive sectors such as government, finance, media, and retail, showcasing strong scalability, replicability, and commercial potential.
Futong iCore Industry Voice of the Customer (VoC) Intelligent Insight Project
This project integrates public and private-domain customer feedback in the automotive industry to build a closed-loop intelligence framework spanning data, models, and operations, achieving a leap from merely collecting customer voices to understanding and responding rapidly.
Powered by the Futong iCore Automotive VoC Solution, the project systematically applies multi-source data integration and intelligent analytics to significantly improve insight efficiency and business response speed.
Core Capabilities:
Intelligent Multi-source Data Governance
Automated cleansing, structuring, and denoising of unstructured data from internal work orders, communities, online customer service, and public channels, achieving a 95% data denoising rate to ensure accurate aggregation of authentic customer voices.AI-powered Semantic Insights
Leveraging industry large models and knowledge bases to enable sentiment analysis, user intent recognition, and competitive attribution. The architecture supports on-demand model invocation, ensuring fast and high-precision insights.Scenario-driven Business Reporting
Integrated BI tools and customized reporting modules provide decision support for new vehicle launches, OTA upgrades, competitive analysis, and marketing strategy optimization. Report generation time was reduced from 7 days to 3 hours, with customized response speed improved by 90%.Closed-loop Operations and Agile Iteration
A biweekly calibration mechanism linking model performance with business feedback enables rapid iteration, forming a reusable methodology that combines large and small models with data applications, ensuring insights translate into tangible business optimization.
Following deployment, the project enabled multi-dimensional empowerment across customer experience management, product management, and operational efficiency, establishing an industry-leading user insight and risk management system and providing a benchmark path for digital transformation in the automotive sector.
Technological Leadership and Replicability
The project overcomes traditional limitations in real-time analysis and multi-source data processing. By integrating Futong Technology’s proprietary patents, large-model capabilities, and knowledge graphs, it achieves efficient multi-source data fusion and intelligent insight generation.
Already proven across the full customer journey in the automotive industry—supporting vehicle launches, after-sales services, and marketing strategies—the solution features high standardization and portability. It can be rapidly replicated across sectors such as government, finance, and retail, demonstrating significant promotion value and economic potential.
