The 2026 Node Growth Conference was successfully convened, gathering a roster of distinguished industry leaders including Zhou Hongyi, Founder of 360 Group, Xu Jinghong, Chairman of Zhongguancun Longmen Investment, Fang Han, Chairman and CEO of Kunlun Tech, and Gao Hailing, Co-founder of KeenData Technology. All attendees engaged in in-depth deliberations on pivotal open topics shaping the industry landscape. At the conference, KeenData Technology was honored with the title of 2025 AI Enterprise of the Year. Ms. Gao Hailing, Co-founder of KeenData Technology, delivered a keynote speech themed How Data&AI Reshape Enterprise Competitiveness, offering an incisive analysis of the core logic, critical pain points and actionable implementation strategies for enterprises' digital-intelligent transformation in the AI era.
Ms. Gao Hailing articulated the following core propositions:
- 1.In the foreseeable future, AI will redefine and reconstruct the business systems and existing operational processes across all industrial sectors.
- 2.AI is undergoing in-depth integration with various industries at an unprecedented pace. In this transformative process, the first movers that seize advanced AI technical capabilities and deeply integrate such capabilities with their core businesses will secure pivotal market advantages for the coming decade.
- 3.To establish a solid foothold in the AI era, enterprises must break free from the homogenized competition cycle, convert fragmented data resources into reusable data goldmines, and enable AI technologies to take root and evolve autonomously within real-world business scenarios.
- 4.For enterprises, the indispensable core platform is an integrated solution that enables the deep convergence of data technology, AI technology, application technology and core business systems.
The following content is excerpted from the keynote speech.
Currently, artificial intelligence technology is accelerating its penetration across all industrial domains, reshaping industrial ecosystems and business models in profound ways. Ms. Gao Hailing pointed out in her speech that the trend of AI rewriting all existing business systems is irreversible. Against this backdrop, the core competitiveness of enterprises is no longer confined to traditional business strengths, but has shifted to the deep integration of scattered private domain data with the native driving force of AI, thereby building robust Data&AI Ready core capabilities. She emphasized that the scale and quality of data directly determine the application depth and development height of artificial intelligence technology, and the release of data value is inherently dependent on the empowerment of intelligent technologies. The synergistic co-evolution of data and AI has become the key for enterprises to break through growth bottlenecks.
Regarding the prevalent challenges encountered by enterprises in the course of AI transformation, Ms. Gao Hailing pointed out that poor data quality accounts for 80% of the failed large model implementation projects. Blindly deploying AI models without the underpinning of high-quality data will severely hinder the practical implementation effect of AI technologies, ultimately leading to project suspension.
To address this critical challenge, enterprises are in urgent need of constructing a robust AI data infrastructure, namely an integrated Data&AI platform. With its core "All-in-One" strategy, KeenData Technology has built the KeenData Lakehouse, a cutting-edge data intelligence platform that provides end-to-end Data&AI technical support for enterprises' digital-intelligent transformation. As a key engine powering the digital transformation of large organizations, KeenData Lakehouse adopts an AI-Native design philosophy and a compute-storage separation architecture, integrating core technologies including lake-house integration, batch-stream integration and multi-mode fusion. It enables the efficient storage and processing of PB-level multi-mode data, and delivers in-depth data cleaning, processing, governance and annotation through the Data Studio module, thus providing a reliable guarantee of high-quality datasets for AI applications. Meanwhile, it seamlessly covers the full lifecycle of data governance, asset management and analytical modeling, forming a closed-loop system for the entire process of data aggregation, integration and management. The Keen AI intelligent development platform deeply integrates core functional modules such as AI application development, model management, knowledge base construction, Agent development, as well as deployment and release. Leveraging AI Studio, it achieves a seamless full-process linkage from model training and inference to intelligent application construction. Its low-code development mode and rich scenario-based components significantly lower the threshold for AI application development, covering a diverse range of business scenarios including intelligent customer service, intelligent report generation and intelligent attribution analysis. The two core products work in synergy to build a complete closed loop of data processing - intelligent development - application implementation, realizing the genuine deep integration of Data and AI, and helping enterprises break down the silos between technology and business operations.
As a leading provider of enterprise-level Data&AI technologies, KeenData Technology empowers numerous Fortune 500 companies and other large-scale enterprises to construct advanced AI data infrastructure with its proprietary AI-in-Lakehouse technology. The company has earned widespread recognition for its outstanding technical strength and remarkable market performance: it has been awarded the First Prize of Provincial and Ministerial Level Science and Technology Progress Award, and designated as a Typical Pilot Unit of the National Trusted Data Space; it ranks first in the market share of lake-house integrated platform software, has been listed among the Top 5 China Big Data Privatization Platforms for three consecutive years, and has obtained authoritative certifications from internationally renowned institutions such as Gartner and IDC in succession.
