my country's enterprises accelerate the deployment of "digital intelligence" transformation

Original source: Economic Information Daily

Reporter Wang Zixu reports from Beijing

Under the new normal of the economy, the advantages of the digital economy have gradually emerged and become a key driving force for stable economic growth.

At present, the new generation of information technology is developing rapidly, and the society has entered the era of intelligent connection of all things.

Policy dividends release new opportunities for digital and intelligent transformation

In recent years, my country's digital economy has achieved leapfrog development.

Lu Shan, Director of the Planning Department of the Ministry of Industry and Information Technology, said in response to a reporter’s question a few days ago that in terms of promoting the digital economy, the "Big Data Industry Development Plan (2016-2020)" was issued during the "13th Five-Year Plan" period, including the "About Industrial Guiding Opinions on the Development of Big Data" etc.

Since the beginning of this year, digital transformation has ushered in a new round of policy support.

In February this year, the State-owned Assets Supervision and Administration Commission of the State Council also issued the "Notice on Accelerating the Digital Transformation of State-owned Enterprises", which systematically clarified the basis, direction, focus and measures of the digital transformation of state-owned enterprises, and guided state-owned enterprises to accelerate the transformation and upgrading of traditional momentum in the digital economy era , Cultivate new development momentum.

Related policies and measures have also been introduced at the local level.

　　Under the policy dividend, the digital transformation of enterprises has ushered in a new period of development opportunities.

　　Xu Xiaolan, Dean of China Industrial Internet Research Institute, said in an interview with reporters that my country’s economy is in a critical period of transforming its development mode, optimizing economic structure, and transforming growth momentum.

　　It is worth mentioning that the development of new-generation information technologies such as artificial intelligence will push society into an era of intelligent connection of all things with comprehensive perception, reliable transmission, intelligent processing, and precise decision-making.

　　According to Tang Xia, Chairman and CEO of Flying Computing Technology, at present, digital intelligence exists in all aspects of enterprises, mainly referring to the establishment of a decision-making mechanism with the support of digital and big data, AI, cloud computing, 5G and other intelligent technologies.

　　Tang Xia said that in the era of digital intelligence, digital must become an asset, especially an effective asset, and become a kind of productivity.

　　Misunderstandings in the path of digital intelligence transformation dilemma

　　Digital upgrading is of great significance to economic and social transformation.

　　However, industry insiders also pointed out that it is not easy for companies to seize the wave of digital intelligence and realize digitalization and digital intelligence transformation.

　　According to the "2020 Chinese Enterprise Digital Transformation Index Research" report jointly launched by Accenture and the National Industrial Information Security Development Research Center, although the digital transformation is in full swing, only a few Chinese companies have achieved significant results in their transformation.

　　Specifically, among the nearly 400 Chinese companies in the nine major industries sampled in the report, only 11% of Chinese companies’ digital investment has been transformed into outstanding operating performance.

　　PricewaterhouseCoopers released in 2020 the report "How Enterprises Perform Digital Transformation in the New Situation" pointed out that in recent years, the overall effect of the digital transformation of traditional Chinese enterprises has not been satisfactory, because in the process of promoting the transformation, insufficient skills and insufficient mechanisms have been intertwined.
The various inherent difficulties formed by being together.
There are five common difficulties.
One is the different understanding of the concept of digital transformation; the other is difficulty in setting the goals of digital transformation and evaluating the actual business value brought by digitalization; and the third is that there are too many options, and each business and functional department has There are many ideas, but they lack a clear path; fourth, the lack of digital talents; fifth, the working mechanism of traditional enterprises is not suitable for promoting digitalization, which is a cross-departmental and innovative transformation.

　　Tang Xia said that although companies are actively embracing the wave of data and digital intelligence, whether it is because of the needs of companies in different developments or the increasingly perfect technical means, a considerable number of companies’ data is scattered in various business links and has not been opened up, and there is "data "Islands" and other issues make data unable to serve the business, and it has not really achieved the effect of reducing costs and improving efficiency.
There are more small and medium-sized enterprises, which account for the largest proportion of the economy.
They are unable to invest huge amounts of "100 million" yuan like large enterprises, nor can they attract enough high-end technology.
, Big data talents, so they often choose "standardized software products" provided on the market to temporarily meet the digital needs of a single node.

　　In Tang Xia's view, the logic of digital intelligence transformation should be the concept of "all business data, all data business", based on business scenarios, through artificial intelligence, big data, cloud computing and other technological means to achieve technological empowerment.
"In the digital transformation of enterprises, in the future, more needs to be digital to serve the entire business and make all data business.
This requires the establishment of specific scenarios, processes and management from within the enterprise, and the use of data to make the implementation of the entire enterprise's decision-making real-time At the same time, digitalization is not only to feed back the operation of enterprises and support enterprise decision-making, but in the future, it will be more intelligent to serve the market and serve users.
" Tang Xia said.

　　The industry pointed out that to solve the current dilemma of digital intelligence transformation, companies also need to adopt more long-term and professional strategies and more precise measures to implement digital intelligence transformation.
Based on business scenarios, meet individual needs on the basis of general solutions.

　　PricewaterhouseCoopers suggested that to solve the various difficulties in the digital transformation of enterprises, it is necessary to unify thinking, make overall plans, and establish a promotion mechanism that matches the maturity of the enterprise's digitalization.
It is recommended that companies adopt top-down top-level planning and bottom-up partial attempts in parallel.
When different partial attempts conflict, follow the principle of direct customer-related solutions first, customer experience first, and IT architecture forward-looking first.

　　Industry insiders also said that digital transformation is an effective means for enterprises to reduce costs and increase efficiency.
However, the development of enterprises is different.
It is necessary for enterprises to consider their needs according to local conditions to introduce more suitable digital transformation programs.
Some business models are relatively light, and it may be possible to achieve a good transformation simply by introducing some digital solutions.
Some business models are heavier, and the use of very heavy measures may not be able to completely transform, and it needs to be carried out in an orderly manner.
Other companies may already have a very good operating model, and they only need to further optimize and iterate under the current model.

　　Enterprises accelerate their layout and explore digital solutions

　　In fact, as cloud computing and other technologies have entered a mature stage in the Chinese market, the cloud access rate of enterprises in digital construction has gradually increased, providing a technical foundation for cloudification and popularization of enterprise digital construction.
At the same time, the development of big data, artificial intelligence, Internet of Things, 5G and other technologies has also promoted the transformation of the digital construction of enterprises to the integration of data and intelligence, bringing more digital solutions that reduce costs and increase efficiency, and a number of them have emerged.
A company dedicated to helping companies get out of the misunderstanding of digital intelligence.

　　"We will use correct logic, correct technology, and systematic solutions to solve the challenges faced by enterprises in the process of embracing digital intelligence.
" Tang Xia said.

　　According to reports, the development platform in the "Flying Computing SoFlu Fully Automatic Software Engineering Platform" independently developed by Flying Computing Technology is a new generation of Java development tools.
It can reduce the threshold of enterprise development through visual logic programming, and effectively help enterprises reduce costs and increase efficiency, so that ten people can be used by 100 people.
The advantages of "Flying Computing SoFlu Fully Automatic Software Engineering Platform", such as visual logic development, rich platform components, and unified management platform, can help enterprises to overcome the "high project cost, long development cycle, and code" faced in the process of digital intelligence transformation.
Problems such as low quality and difficult team management.

　　For example, as the first batch of county (city)-level second-class general hospitals in Henan Province, as the first batch of provincial-level county-level medical donor informatization pilot units, they urgently need to upgrade their informatization systems and data governance capabilities.
However, the frequent downtime during data transfer, the time-consuming 8-9 hours, and the processing timeliness of at least T+1 made the hospital miserable.

　　With the help of the SoFlu fully automated software engineering platform, the hospital achieved three people to complete the data governance upgrade, and the efficiency, scalability and stability of the entire system were improved, and the overall reduction in labor costs was 50% and the project cycle was shortened by more than 6 times.
Up to now, Fesuo Technology's customers are in retail, medical, public service, education and other industries.

　　In addition, Feisuo Technology has also researched and developed a "automatic data modeling platform", becoming the first tool in China to achieve zero threshold modeling for business personnel.
Aiming at industry pain points such as high technical threshold, scarcity of talents, and huge engineering volume, it is based on its mobile Modeling, one-click modeling, self-developed algorithms, agile application, high efficiency and stability, out-of-the-box use of six major product values, bringing efficient modeling services to enterprises that need modeling scenarios but lack modeling talents and technology.
The ROI is increased by 100%, the modeling efficiency is increased by 10 times, the modeling cost is 1/10 of the traditional, and the engineering development volume is reduced by 70%.

　　It is understood that Feisuo Technology is an independent innovation technology company.
The core team of the company comes from large domestic and foreign institutions with rich experience and forward-looking vision.
Currently, the company has introduced Tiantu Capital, Qianhai Fund of Funds, and Detong Capital And other investment institutions.
Based on Internet technology, big data, artificial intelligence and other technologies, the company deeply integrates technology and applications, launches a series of technologically advanced and stable and mature products at the application level, and is committed to providing technology for different industries such as retail, education consulting, and software development.
Support and services to help customers realize technological, digital, and intelligent transformation and upgrading.

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