Models continue to iterate, while data accumulates enterprise differentiation. As AI truly moves into industries, data is determining the depth of intelligence.

On September 18, the "Zhongguancun Science City Technology Innovation and Singapore Industrial Cooperation Exchange Meeting" was held, guided by the Zhongguancun Science City Management Committee and hosted by Beijing Zhongguancun Science City Innovation Development Co., Ltd. and the Singapore Chinese Chamber of Commerce and Industry. A delegation of nearly 20 Singaporean enterprises exchanged views with Haidian technology companies on technological innovation, market expansion, and industrial cooperation. KeenData was invited to give a thematic presentation, sharing its practices and reflections on the technological evolution, industrial implementation, and global layout of AI data infrastructure.

In the AI era, data infrastructure is no longer just about storing and managing data well. More importantly, it is about organizing data into a data production capability that can continuously support intelligence.

Models and intelligent agents are changing enterprises' requirements for data infrastructure. In the past, data platforms mainly addressed data aggregation, governance, and analysis. After entering the intelligent agent stage, data needs to continuously serve model training, inference, and task execution. Data infrastructure has also begun to carry new tasks such as high-quality data production, semantic understanding, model operation, and multi-agent collaboration.

In response to this change, KeenData has built the KeenData Agentic Lakehouse Platform intelligent foundation. Through the collaboration between the KeenData Lakehouse multimodal lakehouse platform and the Keen Agentic OS intelligent agent development operating system, it connects the key links among data, models, and intelligent agents, providing a continuously operating data foundation for enterprise intelligence.

Large organizations in energy, finance, manufacturing, and government affairs possess massive business systems, heterogeneous data environments, and strict requirements for stability and security. KeenData has long served large enterprises and institutions, continuously refining data governance, platform engineering, and AI application capabilities in these complex environments. KeenData has served nearly 300 large enterprises and institutions.

The product and engineering accumulation formed in China's complex industrial environment is also entering broader global markets. KeenData currently continues to advance business in Japan, the Middle East, Southeast Asia, Africa, and other regions. From project practice to local cooperation, and from technical verification to industrial expansion, its overseas business continues to deepen, further validating KeenData's comprehensive capabilities in complex business adaptation, data infrastructure construction, and engineering delivery.

Globalization is not about replicating one set of products across more countries, but about letting technology be re-examined in different industrial environments. Starting from long-term practices with large Chinese organizations, KeenData is bringing the productization, engineering, and industrialization capabilities of AI data infrastructure to the world, continuously validating and iterating amid real demands in different markets.

This China-Singapore industrial cooperation exchange brought KeenData into a more direct demand exchange scenario with Singaporean enterprises and industrial partners.

Southeast Asia has a large population and industrial base. The digitalization levels of manufacturing, finance, retail, energy, and other industries continue to rise, and enterprises' demand for data and AI is also moving from single-point applications toward deeper business integration. KeenData is continuously advancing its layout in the Southeast Asian market, further combining the AI data infrastructure capabilities formed in China's complex industrial scenarios with the digitalization and intelligentization needs of local enterprises.

As global AI industry competition advances in depth, data infrastructure increasingly needs to enter real industries, support real business, and continue to grow in different markets.

Facing Southeast Asia and the broader global market, KeenData will continue to take AI data infrastructure as its core, persistently advancing technology research and development, product evolution, and industrial cooperation, providing AI data foundation support for the intelligent development of more enterprises and organizations.