As AI enters the industrialization phase on a large scale, AI data infrastructure, as the new foundation driving intelligent industrial upgrading, is profoundly reshaping the landscape of the digital economy. On July 3, the AI Integration and Application Development Forum of the 2026 Global Digital Economy Conference was held at the Beijing National Convention Center under the theme "Intelligence Drives the Real Economy, Digital Creates the Future," focusing on cutting-edge trends and innovative applications of artificial intelligence. The conference released the benchmark-significant Typical Cases of AI-Empowered Scenario Applications, underscoring that the value of technological implementation has become a core criterion in the digital economy sector.

Leveraging its innovative practices and implementation outcomes in empowering core industries with AI data infrastructure, KeenData received the recognition with two cases selected as Typical Cases of AI-Empowered Scenario Applications for 2026. Specifically, the "Beijing Pilot Zone AI Data Application Development Platform" was recognized as a new paradigm for trusted circulation of data elements and AI integration, and the "Large Energy Group AI Data Foundation Construction" was recognized as a benchmark for data element and AI integration in the energy industry. These cases provide replicable and scalable practical models for empowering industrial renewal and quality enhancement through AI data infrastructure.

This case selection initiative aims to identify and honor outstanding practices in AI-empowered scenario applications. The evaluation criteria encompass multiple dimensions, including technological leadership, scenario representativeness, service compatibility, and replicability. The dual recognition of KeenData's cases demonstrates the technological innovation of its KeenData Lakehouse platform and the industrial value of AI data infrastructure.

In the Beijing Pilot Zone AI Data Application Development Platform case, KeenData addressed challenges such as difficult scenario deployment, weak training resources, and low data sharing rates for model applications. By constructing a three-in-one architecture comprising "data foundation + AI platform + agent entry point," the company built an integrated intelligent support system spanning from raw data to model training and industry applications, achieving a full-process closed loop from data aggregation, processing, and standardization to intelligent modeling, evaluation, and trading. The platform has passed the expert review and assessment by the Beijing Municipal Bureau of Economy and Information Technology.

In the Large Energy Group AI Data Foundation Construction case, KeenData tackled bottlenecks including fragmented data, cross-business sharing difficulties, delayed real-time scheduling decisions, and insufficient supply of high-quality datasets. Taking deep Data&AI integration as the breakthrough, and using a lakehouse architecture as the technical foundation, the company integrated multimodal data processing, data fabric, integrated training-inference acceleration, and dynamic perception data governance across the full technology stack. This built a full-link AI data infrastructure covering data aggregation, governance, development, service, and AI applications. The project successfully passed its final acceptance review, becoming a demonstrative model for intelligent leapfrogging in energy industry data infrastructure.

AI data infrastructure is being deployed across all industries, serving as the engine driving intelligent industrial upgrading. Looking ahead, KeenData will continue to deepen Data&AI integration, progressively upgrade its KeenData Lakehouse product portfolio, solidify the foundation for industrial intelligence, promote the deep integration of digital-intelligent technologies with thousands of industries, and inject new momentum into the high-quality development of the digital economy.