On July 4, 2026, the 6th China Data Elements 50 Forum was successfully held at the Beijing National Convention Center. As one of the core specialized forums of the 2026 Global Digital Economy Conference, this forum was themed "Activating the Potential of Data Elements, Driving High-Quality Development of the Intelligent Economy," bringing together authoritative experts, industry leaders, and innovative practitioners from the fields of data elements and artificial intelligence to explore the transformative pathways in the era of the intelligent economy. KeenData's executives were invited to attend and shared forward-looking insights through keynote speeches and roundtable dialogues, offering innovative solutions for the deep integration of data elements and the AI industry.

Panel Discussion: Joint Discussion on Data Assets Empowerment, KeenData Explores Long-term Mechanisms for Industrial Intelligence

During the panel discussion "Data Travels Thousands of Miles, Intelligence Faces the Future," a KeenData executive engaged in in-depth discussions with representatives from international organizations, leading scholars, and industry leaders on topics including the synergistic development of data elements and AI large models, and pathways for industrial intelligent transformation. The executive stated that the first half of AI development has focused on computing power and algorithms, while the second half centers on industrial value realization, with AI data becoming the key and serving as the fuel for intelligence. Drawing on KeenData's practices across manufacturing, energy, healthcare, and government sectors, the executive noted that enterprises must build their own AI data foundations and establish high-quality, trusted data circulation environments to create value. To address the industry pain point of "investment without effective use," he proposed a dual-drive approach combining technology and methodology: technologically, building a data intelligence platform with the AI-in-Lakehouse concept; methodologically, centrally constructing AI data foundations and decentralizing capabilities to specific scenarios, driving implementation through automated development and organizational collaboration, so that AI data can truly empower business operations. KeenData will continue to serve industrial intelligent transformation through the integration of data infrastructure and AI.

During the forum's keynote session, a KeenData executive delivered a speech titled "Data Reconstruction: The New Infrastructure in the Era of AI Industrialization," systematically elaborating on the strategic value of data infrastructure in the process of AI industrialization. He pointed out: "AI technological breakthroughs have reached a tipping point, but industrial implementation still needs to bridge the data divide. The future value release of AI depends on whether data can be transformed from 'business records' to 'intelligent fuel,' and whether new infrastructure can be built to support the sustained operation of AI." Based on KeenData's practical achievements across multiple sectors, the executive proposed the "Three-Level Transition in Data Reconstruction" theory: from data availability to AI-ready supply, addressing data quality and standardization issues for model training; from data assets to industrial cognition, enabling models to understand industry rules through semantic governance and knowledge engineering; from intelligent Q&A to agentic action, establishing a closed-loop system of "data-model-agent-process-feedback." He emphasized that KeenData's KeenData Lakehouse data intelligence platform is helping enterprises achieve a fundamental leap from "data accumulation" to "intelligence-driven" operations. By building new AI data infrastructure, the platform enables the continuous transformation of data into intelligence, the deep integration of intelligence into business processes, and the ongoing creation of value through business operations, forming a closed-loop empowerment system.

As a leader in AI data infrastructure, KeenData has helped over 300 clients across multiple industries achieve high-quality data development and intelligent application through its integrated "compute-data-model-action" architecture. Leveraging its technological innovation and scenario implementation capabilities, KeenData will continue to drive the bidirectional empowerment of data elements and AI technologies, injecting strong momentum into the construction of Digital China and the development of a new global digital economic landscape.