Solidifying the Foundation for Data Value Release

Advertisements

Insurance Analysis January 8, 2025

As China continues its journey into the digital age, it is making significant strides in establishing a robust national data infrastructureThis initiative reflects the country's recognition of data as a crucial component of its economy, functioning as a vital element that catalyzes various sectors and drives innovationThe foundation of this data infrastructure aims to optimize the management and flow of data across multiple industries, thereby unlocking its potential value and applying it effectively for societal benefit.

Strategically, the construction of this national data infrastructure is envisioned to occur in phases, allowing for systematic development and adoptionThis new class of infrastructure is not merely a technical enhancement; it indicates a fundamental shift in how data will be collected, transmitted, processed, and monetizedThe implications of such advancements can be profound, transforming the competitive landscape for businesses and industries alike.

In recent evaluations, it was found that the core industries of China's digital economy contributed approximately 10% of the nation's GDP, with total data production reaching an astonishing 32.85 zettabytes—an increase of over 22% year on year

Despite these impressive figures, there is a significant gap in data utilization; only a paltry 2.9% of generated data is retained, while nearly 40% of data generated by enterprises remains untouched for over a yearHence, the efficiency of data circulation and utilization demands urgent enhancements, requiring a cohesive national data infrastructure that facilitates both local and cross-regional data connectivity.

The roadmap for the national data infrastructure from 2024 to 2026 emphasizes piloting technical routes and data practices across critical industries and applicationsThe goal is to foster early adopters across different locales and sectors, thus enriching the ecosystem of solutions availableBy 2027 and 2028, the aim is to realize a well-integrated data infrastructure that supports scalable data exchange, incorporates various data-processing facilities, and achieves extensive coverage among the major urban centers of China.

Moreover, a sector-wide strategy is necessary whereby all regions and departments align their planning, funding, and research towards bolstering data infrastructure development

This concerted effort is expected to catalyze upgrades in related facilities like networks, computational capacity, and securityInitial estimates from industry insiders suggest that this venture could attract direct investments worth approximately 400 billion yuan annually and potentially stimulate an investment ecosystem around 2 trillion yuan over the forthcoming five years.

A central tenet of this initiative is to innovate operational mechanisms that invigorate fundamental sources of growthBy adhering to market principles and clearly defining the roles of various stakeholders in construction and operations, an efficient incentive framework can be establishedThis would encourage collaboration among central and local governments, enterprises, and other parties to properly develop and manage the national data infrastructure.

Initial progress has already demonstrated the productive capabilities of a functional data infrastructure

Real-world applications are emerging across diverse sectors, where public and private entities are collaborating to develop effective data-sharing frameworksFor example, the China Meteorological Administration has created a data-sharing platform that offers a variety of meteorological data products to 132 countries and 21 domestic industries, thereby supporting over 800 national initiatives and projects.

In the agricultural sector, the Ministry of Agriculture has leveraged privacy-protecting computing technologies to ensure that vast amounts of satellite remote sensing data can be securely sharedThis advancement has aided 6 million farming households in predicting agricultural yields more accurately.

In Jinan, local initiatives are showcasing how distributed cloud infrastructure can foster data sharing between city data bureaus and businesses, resulting in the development of services that monitor financial products through responsive data strategies

alefox

For instance, the Jinan Financial Group has utilized this shared platform to enhance their operational processes, which are built around financial predetermination, monitoring, and anti-fraud applications.

Various regions have constructed foundational service chains that facilitate data sharing between government entities and public service sectorsIn industrial parks, data platforms have combined various energy datasets to intelligently manage renewable energy sources, resulting in a substantial reduction of carbon emissions—over 13,000 tons annually, according to reports from Li Jianguo, Deputy Director of the National Data Bureau’s Digital Technology and Infrastructure Division.

By truly capitalizing on the power of data, the national initiatives aim to establish a public data service framework centered around enabling seamless access to data across various sectors

The overarching plan will foster an environment where various industries can benefit from mutual engagements and leverage data to stimulate new product and service innovations, thereby generating value in unprecedented ways.

Furthermore, one of the key drivers behind this effort is the establishment of trusted data spaces that prioritize resource-sharing while adhering to strict security protocolsSome of China’s leading internet companies and enterprises have begun developing these trusted data spaces, which not only streamline internal data sharing but also facilitate controlled access to external data sources for enhanced innovation.

In addition, enterprises are finding new ways to tap into data resources thanks to high-performance computing models, which support rapid data transfer and analysis capabilitiesThis accelerates the development of machine learning models and enhances the overall efficiency of data usage across sectors such as industry, food production, manufacturing, and beyond

Leave a Reply

Your email address will not be published.Required fields are marked *