How ICBC Evolved Its Data Intelligence Architecture for Real‑Time Insights
At the 2024 Data Intelligence Conference, ICBC's Big Data and AI Lab detailed the evolution of its data intelligence platform, covering architectural redesign, real‑time data warehouse technology, unified intelligent data tools, and future development directions to boost efficiency and innovation.
At the 2024 Data Intelligence Conference, Yuan Yi, manager of the China Industrial and Commercial Bank (ICBC) Big Data and Artificial Intelligence Laboratory, presented "ICBC Data Intelligence Technology Base Architecture Evolution Practice," introducing the bank's big data platform from four perspectives: architecture evolution, real‑time data warehouse technology, intelligent data usage tools, and future development directions.
In terms of technical architecture, the big data platform is divided into three major components: big data services, the big data foundation, and the big data operation workstation.
The real‑time data warehouse technology is primarily used to improve the timeliness of ICBC's data middle‑platform.
The construction goal of intelligent data usage tools is to unify data access, process management, data assets, and operational views, standardize the entire data development workflow, significantly enhance data development efficiency and quality, and accelerate data value delivery and large‑scale innovation.
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