Event Recap | Vehicle-Cloud Integration enables holistic data perception, by Dr. Chen Wenliang, Carlinx technological expert

Recently, the 2026 China Automotive Big Data Convergence and Innovation Application Conference, organized by the ATC Automotive Technology Platform and co-hosted by the Institute of Big Data at Fudan University, concluded successfully. Dr. Chen Wenliang, Carlinx technical expert, was invited to deliver a keynote speech titled "Vehicle-Cloud Integration Enables Holistic Data Perception." Dr. Chen Wenliang detailed how Carlinx's two core technological engines - "holistic data perception" and the "AI Agent application platform" - are driving the transformation of vehicle data from a "dormant asset" into a "core productive force."

Data as the Foundation: Vehicle-Cloud Integration Breaks Down Perception Barriers

The architecture of intelligent vehicle is becoming more complex, gigantic, and heterogenous than ever. Extracting value from massive, heterogeneous data has become a universal industry challenge. Dr. Chen Wenliang stated at the outset, "The depth of data determines the height of intelligence. We need to build a capacity for comprehensive perception."

Unlike traditional data acquisition methods, Carlinx's solution achieves deep terminal-cloud integration, and is able to capture real-time vehicle status. This holistic data perception capability not only addresses the problem of "data silos" but also lays a solid data foundation for subsequent AI-Agent applications. Dr. Chen Wenliang emphasized that, by only high-quality, omnidimensional vehicle-cloud data can truly understand both vehicles and their occupants.

AI-Agent Core: Reshaping Interaction through Natural Language

With vast amounts of data available, how can we lower the barrier to usage that truly benefit business scenarios? Dr. Chen Wenliang highlighted Carlinx's breakthrough achievements in AI Agent technology. "Traditional data analytical platforms are often filled with complex parameters and underlying logics, presenting a steep learning curve for non-technical operational staffs," he noted. To address this, Carlinx has integrated LLMs and AI-Agent technologies, significantly reducing the barrier to entry.

During the demonstration, users can issue commands through natural language with the AI-Agent, without any complex SQL code or underlying parameters. Whether querying battery status data under specific conditions, or generating a driving behavior report, the AI-Agent accurately comprehends intent and automatically calls backend tools to create and execute the task. This "what-you-say-is-what-you-get" interaction frees operational staffs from tedious, redundant tasks, allowing them to focus on business innovation and substantially reducing learning and operational costs.

Full-Stack Enablement: Building a Continuous Evolving Intelligent Engine

Dr. Chen Wenliang further elaborated on the practical value of Carlinx's solutions across the vehicle lifecycle. He explained that Carlinx's "Data + Agent" solution is not a tool for a single step but a comprehensive system empowering all scenarios—R&D, production, supply, sales, and service. "As business grows, our system functions like a living organism," Dr. Chen explained. "Through simple module integration and prompt fine-tuning, it can rapidly connect to new business scenarios and tools, forming a continuously evolving intelligent task engine." This means, Carlinx's solution not only meets current demand, but also grows alongside OEMs, adapting to future uncertainties with ease.

Moving forward, as the automotive industry navigates the deeper waters of intelligent transformation, Carlinx will leverage its forward-looking framework to help automakers unlock the value of every bit of data, propelling the industry toward a smarter and more efficient future, and making every mile more valuable.