Sharing insights on data architecture, governance, and middle platforms, exploring AI in data, and linking data with business scenarios.
This guide walks you through obtaining DeepSeek API access, installing the Continue and CodeGPT plugins in IntelliJ IDEA, configuring them with your API key, and understanding the associated usage costs, enabling AI‑assisted development to boost productivity.
In today's digital era, enterprises must transform raw data into actionable insights, and a well‑designed data metric system—by defining dimensions, aggregation methods, and measurement units—provides the quantitative backbone that guides strategic, operational, and competitive decision‑making.
This article offers a comprehensive, multi‑angle guide to building and applying data indicator systems, covering core principles, step‑by‑step construction flow, data collection, cleaning, validation, and continuous optimization to empower digital transformation and high‑quality business growth.
Released by the NDRC, National Data Bureau and MIIT, the 'National Data Infrastructure Construction Guideline' outlines the concept, vision, functions, and architecture of a nationwide data infrastructure, detailing four key pillars—data flow, computing, network support, and security—and sets phased development goals through 2029.
This article provides a comprehensive overview of LLM-based Text-to-SQL technology, covering its background, evolution, challenges, various LLM-driven methods, benchmark datasets, evaluation metrics, and future research directions to guide researchers and practitioners in advancing natural language interfaces for databases.
This article examines the rapid rise of AI large‑model technology across China’s financial sector and state‑owned enterprises, highlighting over 200 models deployed by 2023, detailed banking use‑cases, a growing portfolio of central‑enterprise projects worth millions, and the future shift from internal efficiency gains to outward customer‑facing innovation.
This article presents a comprehensive visual guide to enterprise digital transformation, covering overall digital planning, application system architecture, data architecture, information security architecture, and digital organization and governance, illustrating each layer with detailed diagrams to aid strategic implementation.
This report, jointly authored by Qianzhan Industry Research Institute, Shougang Fund CANPLUS, and Huawei Cloud, examines AI large‑model applications across four dimensions—overview, current status with case studies, pain points and solutions, and future trends—highlighting how these models boost production efficiency, balance cost, privacy, and performance, and elevate data’s role in industry.
This article explains why data is a new production factor, introduces the “three elements” (organization & awareness, processes & standards, platforms & tools) and the “four‑movement” (inventory, assessment, governance, sharing) framework for data asset operation, and shows how it drives digital transformation, efficiency and innovative business models.
This article compiles the official definitions released by China’s National Data Bureau and other agencies for 41 data‑related terms, explains the concepts of data infrastructure, privacy‑preserving computing, trusted data spaces, and blockchain, and outlines how these definitions guide the nation’s data‑driven development strategy.
