Digital transformation blockchain
The new generation of digital technology represented by mobile Internet, cloud computing, big data, AI and artificial intelligence is subverting people's proction and life style and reshaping everything. New technology gives birth to new business models and new economic forms, and promotes the transformation and upgrading of traditional economies. Digital transformation has become the core strategy of a large number of enterprises. Some data show that 67% of the global top 1000 enterprises and 50% of China's top 1000 enterprises will take digital transformation as their strategic core
strategic transformation, talents first. In the digital transformation of enterprises, human resources department should not be a passive participant, but a promoter and leader. The first thing that the human resources department should do well is the digital transformation of its own talent management, that is, digital talent management. What is digital talent management? As the name suggests, talent management should be digitized. First of all, effective data should be collected, such as data of organizational climate, data of engagement satisfaction, data of talent ability / potential, data of performance, quantitative data of leadership behavior, data of instry benchmarking, etc. Secondly, it is necessary to establish an analysis model for these data, using correlation analysis, cross analysis, regression analysis, comparative analysis and other analysis methods. Through the analysis of the data, we can find the parts that can not be touched by experience, drive deeper insight into talent management, and get more forward-looking talent management suggestions and more scientific talent management decisions
so how to do the digital transformation of talent management
Based on more than 10 years of research in the field of talent management, Yicai proposed a "4-f" digital talent management model, as shown in the figure below:
technology layer
technology layer is divided into two parts, one is it technology, namely big data, AI human intelligence, cloud computing and other core technologies, as well as PAAS and SaaS system platforms. The other part is the professional technology of talent management, including various index database, model database, question database, norm database, scale database and so on. These two parts together form a strong technical base to support the overall digital talent management
How can thetool layer
technology layer be transformed into usable means? Yicai has developed a large number of talent management tools from three levels of organization diagnosis, talent evaluation and learning development, including engagement satisfaction survey, organization atmosphere survey, quality assessment, 360 degree assessment, AC evaluation center, various workshops, personal IDP, etc., forming a tool layer
application layer
for enterprises, it is more concerned by managers to effectively solve the enterprise pain points. The application layer is the actual landing of the tool layer to solve the practical problems in enterprise talent management, such as recruitment and selection, talent inventory, echelon construction, high potential identification, etc
the decision-making level
the decision-making level should solve the problems of organization and indivial. From the perspective of organization, how to achieve talent matching? Including: person post matching, team matching, person and strategy matching, etc. From a personal point of view, how to do better self-awareness, play advantages, clear career path and so on
To sum up, in the "4-f" model, the technology layer is the foundation, the tool layer is the means, the application layer is the path, and the decision layer is the purpose. Data driven decision-making is used to avoid employment risks and solve talent management problems in advance, and a more forward-looking talent management plan is formulated to support the effective implementation of the company's strategy and talent strategyaugmented reality (AR) is an enhanced version of the real world, which can be realized by using digital visual elements, sound or other sensory stimulation through technology
2. Business intelligence edge
intelligent edge refers to data analysis and solution development at the site where data is generated. By doing so, smart edges rece latency, cost, and security risks, making the associated business more efficient
3. blockchain in healthcare
blockchain technology is a kind of decentralized database management, which stores data in a sequential manner, and each transaction concted by users can be used by the public. Blockchain ensures transparency among users
4. The Internet of things in smart city
the Internet of things refers to the collection and sharing of data between devices in the same network. With its powerful sensor system, one device can collect data and keep consistent with other devices< Computer vision in archaeology
computer vision refers to the field of computer science, which focuses on imitating the complexity of human visual system to enable computers to recognize and process objects in images and videos
6. Agricultural data science
data science is a new subject in the field of data analysis, which transforms raw data into feasible insights. The research report includes various career opportunities, such as data scientist, data analyst, data architect, machine learning engineer, etc.
The center is Yuzhong District. The core of Chongqing's main urban area, especially Jiefangbei Chaotianmen business district
the main urban area of Chongqing, which is called the metropolitan area in Chongqing's urban and rural master plan, covers an administrative area of 5472.68km2, including Yuzhong District, Dakou District, Jiangbei District, Nan'an District, Shapingba District, Jiulongpo District, Beibei District, Yubei district and Banan District. Metropolitan area is the core carrier of the National Central City and the political, economic, cultural, transportation and financial center of the whole city
Yuzhong District is the mother city of Chongqing and the seat of Chongqing municipal government. Shapingba District is the cultural and ecational District of Chongqing. Beibei District was the relocation area of Chongqing ring the period of the Republic of China. It was once the seat of the Executive Yuan and the presidential palace of the Republic of China. Banan District and Yubei district were originally Ba County and Jiangbei County, which are the mother counties of Chongqing. Their status is similar to Minhang District and Baoshan District in Shanghai or Fengtai District and Tongzhou District in Beijing
extended data:
at the beginning of its establishment in 1929, Chongqing's "city" area was 2.4 square kilometers. After more than 80 years of development, Chongqing's built-up area expanded more than 200 times. By the end of 2009, the built-up area of Chongqing's main city had reached 481 square kilometers
Since 1997, e to the special structure of Chongqing, the main urban area of Chongqing, which is similar to the concept of economic and cultural transportation of the municipality directly under the central government, has been formedthis concept is often associated with "old Chongqing area" (Chongqing City, Sichuan Province, commonly known as nine districts and twelve counties) and "Chongqing Municipality" (38 districts and counties in Chongqing), 95 square kilometers)
Since Chongqing became a municipality directly under the central government for the first time in 1939, the main urban area of Chongqing was the original administrative area of Chongqing in the Republic of China, which remained until the liberation From 1950 to 1980, Chongqing was first reced from a municipality directly under the central government to a city under separate planning, and then to a prefecture level city. Its administrative area expanded to the sum of the nine districts in the main city of Chongqing plus Changshou District, Qijiang district and Shuangqiao District (Note: Shuangqiao District was incorporated into Dazu District in 2011)since the 1980s, the cities separately listed in Chongqing's recovery plan, Jiangjin administrative Commissioner's office of Sichuan Province and eight counties in Yongchuan area (Jiangjin County, Bishan County, Yongchuan County, Hechuan County, Tongnan County, Tongliang County, Rongchang County, Dazu County) have been merged into Chongqing and become a part of Chongqing
The status of these counties in Chongqing is similar to that of Qingpu, Chongming and Jiading in Shanghai; Baodi and Jinghai in Tianjin or Miyun and Yanqing in Beijing are similar to Huangpi in Wuhan, Lin'an and Jiande in Hangzhou, Conghua and Zengcheng in Guangzhousource of reference: Internet - main urban area of Chongqing
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3. The homogenization of enterprise's goods and services is becoming more and more serious, and the difficulty of innovation and technological breakthrough is becoming more and more difficult
4. With the transparency of information, the demand of users is more and more demanding, and the demand for personalization is higher and higher. Enterprise data upgrading can make enterprises accurately understand the needs of users, provide customized services for users, and retain users. At the same time, digitization can help enterprises optimize decision-making and improve resource allocation. It plays a significant role in recing costs and improving competitiveness
digital transformation is an arous challenge, but successful transformation can bring immeasurable value to enterprises. Now the world economy is in a period of great transformation from instrial economy to digital economy. Our country's enterprises have their advantages, such as huge talent pool, complete instrial system and complete Internet ecosystem. However, there are also some challenges, such as weak foundation, insufficient innovation and rigid organization and management. How to make full use of advantages and avoid disadvantages, and realize the smooth transformation and upgrading of enterprises, also need the cooperation between enterprises
information digitization generally includes three stages: sampling, quantization and coding
sampling
the function of sampling is to sample the continuous analog signal according to a certain frequency to obtain a series of finite discrete values. The higher the sampling frequency is, the more discrete values are obtained and the closer the original analog signal is<
quantization
the function of quantization is to divide the range of sample values after sampling into a limited number of segments, and to represent all sample values falling into a certain segment with the same value. It is a mapping operation that uses a finite discrete numerical quantity to replace an infinite continuous analog quantity. The higher the quantization number is, the more precise the sample size is
coding
the function of coding is to convert discrete numerical values into binary codes, that is, digital signals, according to certain rules
sometimes the digital process also includes data compression.
2. Analysis task:
recently, the & quot; Digital revolution Summit & quot; In fact, this kind of understanding has reached an unprecedented height. The task seems to be clear: our task is to connect the various points, identify customer needs, provide timely solutions for the market, and bring change to all kinds of customers in all States and instries. So how do we do it
both the famous Moore's law and our own perception
Enterprise Maturity Model for large-scale analysis have numerous frameworks to understand how innovation and breakthrough complement each other and promote the rapid growth of digitalization. Among them, it is increasingly clear that analytical solutions must be able to manage and expand innovation in real time. Sometimes, this rapid success will bring new challenges to itself.
digital transformation aims to use a variety of emerging technologies, such as mobile, web, social, big data, machine learning, artificial intelligence, Internet of things, cloud computing, blockchain and so on, to conceive and deliver new and differentiated value for enterprise organizations
enterprises that adopt digital transformation generally seek new sources of income, new procts and services, and new business models. Therefore, digital transformation is the deep integration of technology and business model, and the final result of digital transformation is the change of business model
digital transformation shows that success can be achieved only when an enterprise redefines its business systematically, thoroughly (or significantly and completely), not only it, but also all aspects of organizational activities, processes, business models and staff capabilities.
state owned enterprises should accurately grasp the new trend of the world's scientific and technological revolution and instrial change, deeply implement innovation driven, concentrate on tackling key core technologies, seize the opportunity of global digital and intelligent technological change, adhere to the supply side structural reform as the main line, build a high-level digital economy instrial chain, and promote the deep integration of digital economy and real economy. At the same time, CUHK consulting believes that state-owned enterprises should accelerate the transformation of open, flat and flexible organization system based on big data management and application, take the lead in the digital transformation of business management and business model, promote the digital transformation of proction, management and marketing model, update manufacturing process, distribution channel and business model, and reshape instrial chain, supply chain and value chain, Reform business and management processes, and promote the preservation and appreciation of state-owned capital.