Data assets are a key factor of production for the development of the digital economy. With the development of new-generation information technologies such as artificial intelligence, data ushers in explosive growth. Under the guidance of the national big data strategy, improving the level of data security protection, ensuring the rational and effective use of data in accordance with the law, realizing the standardized and high-quality development of big data, and truly playing a role in promoting the economy and society have become the innovative direction of data applications in various industries and fields.
Recently, Baidu Smart Cloud released the "Integration of Cloud and Intelligence" Technology and Application Analysis Series White Papers - Intelligent Big Data , which systematically interprets how enterprises should use cloud intelligence technology to build safe and reliable data infrastructure and intelligent mining platforms under the new situation of big data development, and to play the core value of digital assets.
The white paper deeply analyzes the problems encountered in the digital economy from digital transformation to intelligent upgrading, and conducts in-depth discussions on the future trend of intelligent big data, platform construction principles, how to mine data value, industry cases, etc., and details the panorama of Baidu Smart Cloud big data product architecture integrating cloud and intelligence, providing new reference for digital transformation and intelligent upgrading of enterprises.
Data elements, a new strategic resource in the digital economy era
The world is entering the era of digital economy. The digital economy takes digital knowledge and information as the key production factors, digital technology as the core driving force, and modern information network as an important carrier. Through the deep integration of digital technology and the real economy, the digital, networked, and intelligent levels of the economy and society are continuously improved, and a new economic form that accelerates the reconstruction of economic development and governance models.
In the digital economy, data elements are new strategic resources in the era of digital economy. In 2020, the State Council issued guidance on the market-oriented allocation of factors, and clearly listed "data" as the five major factors of production along with land, labor, capital, and technology.
As mentioned in the white paper, data elements, as an important engine of economic growth, can not only create value by themselves, but also amplify the value of other production elements. On the one hand, data elements directly drive many new economic models, new economic forms, and new industries, bringing about rapid economic growth. On the other hand, data elements and other production elements such as capital, land, labor, and technology cooperate to play a multiplier role, solve problems such as supply and demand optimization, innovate value chain circulation methods, and amplify the value of other elements.
In fact, big data has driven many industries such as retail, urban governance, finance, manufacturing, education, and medical care, and has attempted and practiced digital transformation or business innovation. The proportion of digital economy in social production is getting higher and higher.
For example, in the retail industry, location selection for opening a store is critical to the success of the final business. Combined with big data technology and target customer group positioning, accurate and intelligent location selection can be realized, reducing operational uncertainty and risks from the source; in the manufacturing industry, after equipment is delivered to users, there are still operational issues such as maintenance and after-sales. Combining big data and Internet of Things technology, it is possible to understand equipment status in a timely manner, realize predictive maintenance, and greatly improve the service efficiency and user experience of the manufacturing industry; Create new room for growth.
According to the "White Paper on China's Digital Economy Development (2021)" released by the China Academy of Information and Communications Technology, the scale of my country's digital economy will reach 39.2 trillion yuan in 2020, accounting for 38.6% of GDP, maintaining a high growth rate of 9.7%, and becoming a key driving force for stable economic growth.
In the Outline of the "14th Five-Year Plan", the "proportion of the added value of the digital economy's core industries in GDP" is one of the key indicators of innovation drive, and it is expected that the "proportion of the added value of the digital economy's core industries in GDP" will rise from 7.8% in 2020 to 10% in 2025.
It is not difficult to see that big data will become a powerful driving force for the development of the future digital economy and a strong engine for GDP growth.
Integration of cloud and intelligence, allowing big data to play a big role
The importance of big data is unquestionable, but the transformation from big data to big value cannot be achieved overnight. It requires not only the planning of data infrastructure that meets current and future data and business development changes, but also data governance and application methodology and practical experience to support value landing.
As mentioned in the white paper, with the continuous implementation of big data applications, the Internet of Things, artificial intelligence, etc., and the deepening of digital transformation, the big data industry shows the following characteristics:
The 4V characteristics are more prominent, manifested as three highs and one low, exponential growth of data scale, complex and diverse data types, more real-time data processing requirements, and low data value density.
Big data applications and AI are deeply integrated , big data provides data foundation for AI applications, and AI drives deep value mining of big data.
The issue of data security has attracted more and more attention. How to not only protect data security and privacy, but also promote the value of data has become an important research topic.
Therefore, it is mentioned in the white paper that building a new type of data infrastructure, conducting deep data mining and value play, and ensuring data security are the keys to building an enterprise big data platform. The implementation of enterprise big data applications needs to focus on the principles of effectiveness first, governance first, safety first, and continuous operation.
Based on the above principles, Baidu Smart Cloud has launched a new cloud-intelligence-integrated intelligent big data product architecture panorama, and is committed to building a cloud-intelligence integrated big data technology and capability system for more enterprises, realizing the processing and application of larger-scale, more types, and more source data, and comprehensively boosting the digital transformation and intelligent upgrading of enterprises.
The panorama of Baidu Smart Cloud big data product architecture has three layers:
The bottom layer provides enterprises with cost-effective mass-scale data storage, computing processing, processing and development capabilities through the lake warehouse data infrastructure, and improves the efficiency of data lifecycle processing through a one-stop governance development platform;
The middle layer, the data value mining platform layer provides a full range of platform capabilities from data asset management and operation, visualized BI, and data science value deep mining to help enterprises data value mining;
At the top level, based on industry data characteristics and application scenario requirements, combined with big data capabilities and collaborative ecology, solutions for various industry segments are formed to help enterprises implement big data applications, drive cost reduction, increase efficiency, and develop innovation.
In order to protect the security of enterprise data assets and ensure that data security and privacy are not violated, Baidu Smart Cloud provides a full lifecycle data security protection system. For example, the big data platform supports multi-tenant resource isolation, supports fine-grained data authority control at the data row and column level, etc. to ensure asset security; supports data classification and classification, automatic identification of private data, security audits, etc. to ensure that privacy is not violated; in addition, it provides a series of privacy computing technologies and solutions to achieve "data is available and invisible", "data immutable algorithm action" to realize the release of data value while ensuring data security.
Intelligent big data, helping thousands of industries to upgrade intelligently
In industries such as industry, energy, finance, and government affairs, many customers have built their own enterprise-level big data platforms based on the Baidu Smart Cloud big data platform and data governance and application solutions, completed data governance, formed data core assets, and built a data asset portal. Based on data applications, it has effectively optimized the efficiency of enterprise management and operation and developed innovative ideas, covering management decision-making, production, marketing, and after-sales service.
Taking XCMG Construction Machinery Co., Ltd. as an example in the white paper, the cockpit solution for enterprise comprehensive management and decision-making tailored by Baidu Smart Cloud solves three major problems of XCMG:
Data interconnection, through the construction of a big data platform, break through the barriers of product lines and departments, research, production, supply, sales, and service in one map, and managers can control the overall situation in real time and make precise decisions.
Realize the nearest service after sales. By connecting the excavation and Internet of Things logs + purchase data + maintenance data, combined with Baidu map data, the excavator after-sales service can be provided nearby, and services can be allocated according to the resource allocation map. In addition, through the data of the Internet of Things, it is also possible to perform predictive maintenance on components, predict failures in advance, and greatly improve the timeliness and satisfaction of maintenance.
Accurately assess the break-even point, and assess the minimum working hours required by customers in different regions and monthly enough to repay the loan, so as to make further decisions. For example, when the customer cannot repay the loan on time, it can calculate when to lock the car and trailer, and the price of the second-hand excavator is just enough to repay the loan.
The white paper also mentioned that Shaanxi Radio and Television Financial Media Group, based on the intelligent big data platform of Baidu Smart Cloud and Cloud Intelligence, Shaanxi Radio and Television has built a media fusion data asset platform. On the basis of data asset construction, further data analysis and deep value mining have realized real-time multi-channel comprehensive management of users, precise user operations, and intelligent perception of public opinion.
There are many similar cases, such as the smart water case of Quanzhou Water Group Co., Ltd., Peixian City Data Governance Project, Smart Lijiang, Baixin Bank, Peking University, PetroChina, etc.
With the development of new-generation information technology such as artificial intelligence and the explosive growth of data, the industry has accelerated the application of intelligent technology to discover patterns, train models, and extract knowledge from massive data, promote output increase and efficiency improvement, and realize the intelligentization of enterprise production and operation, and then realize the intelligent upgrade of the entire industry, which has become a consensus in the industry.
The panorama of Baidu Smart Cloud big data product architecture integrates years of technology accumulation and industry experience, and provides a one-stop big data governance solution for enterprises to move towards intelligence. While helping enterprises achieve digital transformation, it also promotes further industrial upgrading.
At present, Baidu Smart Cloud's best big data practices have spread across various industries. As a technology leader integrating cloud and intelligence, Baidu Smart Cloud will continue to interpret and share the application experience of cloud smart technology in various industry scenarios, and practice "using technology to make the complex world simpler" with practical actions.
White paper download link:
http://baipishu.bce.baidu.com/wap/index/book/id/AC31C42EF39E133FDE4MDAwMDAwMDAwMLHPdJ4.html?track=weixin
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