On June 25, the "Connecting Heaven and Earth, Knowing All Things | Galaxy × Broadband Mobile AI Capital Forum 2026," jointly organized by GSMA, China Galaxy Securities, and Broadband Capital, was successfully held in Shanghai. As a flagship event of the "Industry Thought Leadership Program" at MWC26 Shanghai, the forum brought together mainstream institutional investors, telecom executives, tech leaders, and industry experts. Yu Yang, Chairman of KeenData Technology, was invited to attend the roundtable discussion, engaging in an in-depth dialogue on "Intelligent Connectivity and Symbiosis, Capital Empowerment – Unlocking Investment Opportunities in the Intelligent Connectivity Sector."

The forum centered on the evolution of the intelligent connectivity industry amid the AI wave. As AI transitions from a technological concept to industrial infrastructure, the capital market's perception of the "intelligent connectivity" sector is undergoing a systematic restructuring. In this process, data flow efficiency and governance quality are replacing mere connection scale as the core yardstick for measuring enterprise intelligence.
Round-table Dialogue: Capital and Industry Consensus in the Intelligent Connectivity Era
During the roundtable, Yu Yang responded to the moderator's question on "paradigm shifts in data infrastructure," drawing on frontline industrial practices to elaborate on the core value of AI data infrastructure in the intelligent connectivity era.


Yu Yang pointed out that computing power, algorithms, and data together form the complete ecosystem of artificial intelligence. While computing power and algorithms have seen tremendous advances, the real challenge lies in how to translate the general capabilities of large models into tangible value for every industry and every enterprise. Only high-quality, structured, and scenario-specific data can serve as the core differentiator defining the upper limits of enterprise intelligence. In the Mobile AI era, mere technological accumulation is no longer sufficient to sustain high valuations; enterprises with the ability to "supply AI-ready data" and build cross-domain data closed loops are the ones with resilience to navigate market cycles. Drawing on KeenData's practical experience, Yu Yang emphasized that the value release of intelligent connectivity depends on the solidity of the AI data foundation—only by building a unified, trustworthy AI data infrastructure and overcoming data silos and real-time processing challenges can AI truly move from concept validation to large-scale commercial deployment. This view resonated deeply: in the second half of intelligent connectivity, data infrastructure is not just a technical issue but the "entry ticket" to unlocking AI's commercial value.
KeenData Technology: Driving Industrial Transformation Through Data Infrastructure
As a leader in AI data infrastructure, KeenData Technology has helped over 300 large enterprises overcome data bottlenecks across finance, manufacturing, and government sectors. Its core product, KeenData Lakehouse, built on the AI-in-Lakehouse intelligent-driven architecture, covers the full spectrum of capabilities from data integration and multimodal computing to data governance, AI model training, and Agent development. On this foundation, KeenData Technology has constructed a "data foundation + AI platform + agent portal" three-in-one technical architecture. Through "model-data resonance," it translates decades of industry expertise accumulated by enterprises into AI-understandable data language, injecting new momentum into the intelligent economy.

In the rapidly evolving era of intelligent connectivity, data infrastructure is rising from a "support system" to a "transformational engine." KeenData Technology will continue to deepen its commitment to AI data infrastructure, working with ecosystem partners to break down barriers with the power of data, advancing intelligent connectivity from merely "connecting everything" toward "intelligent symbiosis," and ushering in a new era of high-quality development for the digital economy.
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