China's first online insurer. Through tech innovation we make insurance simpler, warmer, and more valuable. Powered by technology, we support 50 billion RMB of policies and serve 600 million users with smart, personalized solutions. ZhongAn's hardcore tech and article shares are here.
This article explores JDK 21's major features including virtual threads, generational ZGC, and new APIs, comparing their performance with traditional threading models and demonstrating practical implementations in Spring Boot.
This article explains the fundamentals of symmetric and asymmetric encryption, one‑way and trapdoor functions, forward secrecy, TLS handshake, and how the ZA financial app applies a multi‑layered secure communication protocol—including certificate verification, replay protection, payload encryption, and request signing—to achieve robust, high‑performance network security across iOS, Android, and web platforms.
This article introduces the evolution of embedding techniques, presents real‑world case studies of embedding‑based FAQ retrieval, explains evaluation metrics such as Recall and MRR, and compares the performance of a proprietary ZhongAn embedding model with OpenAI and Sentence‑BERT models on Chinese FAQ datasets.
This article analyzes a sporadic loss of trace information when using OpenTelemetry’s non‑capturing lambda tasks in a Java ThreadPoolExecutor, explains the underlying cause related to Runnable reuse and lambda caching, and presents the community‑driven patches that correctly propagate context across threads.
This article explores how Zong An Insurance has pioneered digital transformation in the financial technology sector over the past decade, achieving 100% cloud-native architecture, developing core systems like WuJieShan, and integrating AIGC technologies to create a comprehensive insurance ecosystem.
The interview with ZhongAn Insurance CTO Jiang Jiyun discusses how the company leverages AIGC technologies such as large language models, embeddings, and prompt engineering to enhance marketing, intelligent customer service, and data security, while highlighting practical challenges and best practices for AI adoption in the insurance sector.
