On July 2nd, the 2025 Global Digital Economy Conference was grandly held at the Beijing National Convention Center. Mr. Zhu Jianyong, Co-founder and Vice President of KeenData, delivered a speech at the Big Data Innovation Application Forum and Beijing Data Pioneer Zone Development Conference with the theme of "AI Infra Serving High-Quality Development of Digital Economy", systematically explaining the company's exploration and practice in building next-generation data infrastructure.
This Global Digital Economy Conference was themed "Building Digital-Friendly Cities", focusing on important areas such as big data innovation applications, digital technology investment, and digital infrastructure construction, as well as emerging tracks like digital healthcare, comprehensively showcasing Beijing's achievements in building a global digital economy benchmark city. Among them, the "Artificial Intelligence Data Application Development Platform" officially released by the Beijing Data Foundation System Pioneer Zone is built based on KeenData's lakehouse data intelligence platform KeenData Lakehouse, becoming a demonstration model for the integration of government, industry, academia, research, and application.
During the conference, as an enterprise focused on Data & AI infrastructure software R&D, KeenData simultaneously introduced its next-generation AI Infra platform solution, demonstrating its capabilities and achievements in building digital foundations in core scenarios such as government affairs, industry, and cities around the national strategic direction of "Data Elements × AI", continuously supporting the digital economy's leap from "data governance" to "intelligent governance".
AI Era
Enterprises Urgently Need Next-Generation Data Infrastructure
In the information age, enterprises mainly processed structured data, with data serving only internal business systems and limited value release space. With the development of internet and cloud technologies, massive unstructured and semi-structured data emerged. However, the storage-computing separation and engineering fragmentation systems made it difficult to integrate AI capabilities and effectively release data value.
Entering the AI era, traditional data systems face three bottlenecks: data silos are difficult to break through, data quality is difficult to guarantee, and AI applications are difficult to implement. Enterprises urgently need to reconstruct their foundation and build next-generation data infrastructure for intelligent applications to achieve efficient integration of data and intelligence.
This infrastructure needs to have three core capabilities:
Multimodal Data Processing Capability: Break through the limitations of traditional structured data and achieve efficient processing of multiple types of data such as text, images, and audio;
Complete Engineering System: Build data engineering and AI engineering capabilities to replace traditional software engineering models and promote comprehensive release of data value and AI product implementation;
Cross-domain Support Capability: Become a key node for data circulation across industries, sectors, and regions, providing underlying support for broader application scenarios.
Unlike the fragmented technical modules in traditional IT architecture, data infrastructure in the AI era is evolving towards systematization. By integrating multimodal data processing capabilities, engineering development capabilities, and cross-domain collaboration capabilities, next-generation data infrastructure is becoming a key engine for releasing data element value.
Based on its self-developed KeenData Lakehouse, KeenData, with the "All-in-One" strategy as its core, has built an integrated capability platform covering data governance, asset management, analytical modeling, AI development and services, connecting the full-process closed loop of data aggregation, integration, management, and intelligent applications.
Relying on the lakehouse platform, KeenData has built an infrastructure system covering the entire chain of data collection, processing, circulation, and operation, providing the data element market with:
Unified management and scheduling capabilities for global data resources;
Organization-level secure sharing and large-scale collaboration mechanisms;
Future-oriented AI-native data engineering and intelligent application support capabilities.
This platform provides comprehensive support for trusted data space operators, data providers, users, and regulators, breaking through data barriers and promoting secure, trusted, and efficient data circulation across different industries and regions. In the construction practice of trusted data spaces, KeenData is increasingly becoming a key participant and core supporting force.
New Data & AI Integrated Platform for the Intelligent Era
Serving High-Quality Development of Digital Economy
Currently, the digital economy has become a core force driving China's economic growth. However, large models and AI applications still face two common challenges. First, the utilization rate of massive unstructured data (documents, images, audio-video, logs, etc.) is low, and traditional technologies are difficult to handle; second, the value transformation of AI applications is insufficient, with high deployment costs and low inference efficiency of large models, making it difficult to implement in actual business scenarios.
To address these challenges, KeenData has launched a new generation of Data & AI integrated platform - KeenData Lakehouse, achieving deep integration of data, algorithms, computing power, and security, building the core foundation for the enterprise intelligent era.
The platform has the following key capabilities:
Unified Data Intelligence Foundation: Build a one-stop, full-link, visual platform to help enterprises achieve data asset management and element-based operations;
Empowering Industry Model Implementation: Train business models through standardized big data platforms, sinking domain large models downward and empowering terminal business applications upward;
Compound AI Systems Engineering System: Cover the full lifecycle of AI applications from construction to deployment, helping enterprises build truly "production-ready" AI capabilities;
Data Governance for AI: Build a full-link governance system from data to models, achieving compliant and secure AI application implementation;
Agent Factory + Built-in Model Intelligence Components: With self-developed Agent toolchain and large model kernel, empower key scenarios such as interaction, development, and query, improving AI application efficiency and production value.
With the arrival of the digital economy era, Data & AI technology has become the core engine driving digital transformation services across all industries. KeenData focuses on R&D innovation in Data & AI infrastructure software, committed to building "unified data and intelligence infrastructure" for industrial intelligent upgrading. The platform has been widely serving key industries such as government, central state-owned enterprises, finance, energy, and manufacturing, becoming a core infrastructure force driving high-quality development of the digital economy.