区块链怎么为退役军人服务,区块链怎么为退役军人提供服务
随着科技的发展和进步,区块链技术也在不断地得到改进和完善,它正在成为社会发展的重要助推器。区块链技术可以为退役军人提供安全、可靠的服务,并且可以节省大量的人力和物力资源,极大地提高社会效率。
区块链技术可以让退役军人轻松获得必要的服务。通过区块链技术,退役军人可以轻松获取有关政府政策、社会保障、就业信息等相关信息,从而更好地了解自身权益,并可以更好地享受政府提供的服务。
区块链技术还可以帮助退役军人解决就业问题。通过区块链技术,政府可以建立一个跨部门的共享数据库,各部门之间可以共享数据,从而更好地管理退役军人的就业信息,帮助他们更好地找到合适的工作。
区块链技术还可以帮助退役军人获得更多的社会福利。通过将退役军人的信息存储在区块链网络上,政府可以更好地管理退役军人的社会福利,使他们更容易获得更多的社会福利,让他们更好地享受政府提供的福利。
总之,区块链技术为退役军人提供了安全、可靠的服务,可以帮助他们获得必要的信息和社会福利,让他们更容易找到合适的工作。因此,政府应该加大对区块链技术的投入,从而更好地为退役军人服务。
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1. How are you doing now after serving in the military?
I graduated from high school in 1990 and was admitted to the English major of the PLA Foreign Languages Institute in Luoyang. After graduating in 1994, I was admitted to the English major. I was assigned to Lanzhou City, which was later known as "New Zealand", but it was actually not in the city. It was a unit in a small town dozens of kilometers away from Lanzhou City. I worked there for four years and was admitted to Beijing Military Science as a graduate student in 1999. , although he was a graduate student in the military system, he was assigned back to the original army after three years of graduate school, and basically returned to his original job. Later, he was transferred back to Urumqi, Xinjiang, and worked in Urumqi for another four years. Choose your own career.
2. What is smart vocational education?
The smart vocational education app is a brand-new smart education application, which provides a wide range of vocational education teachers and students. And provide a good and high-quality learning environment for corporate employees to promote their efficient and professional learning and improve their learning skills.
This platform actively explores cooperation with relevant institutions, carries out in-depth various trainings and competitions in the field of vocational education information teaching and vocational skills, and gathers training resources and competition works to expand high-quality through information means. Resource Sharing.
Function introduction
This platform is based on innovative resource application models, building resource sharing mechanisms, and exploring cloud service methods to provide efficient Schools or enterprises that need it can open exclusive channels and build their own online teaching environment in the channel to help teachers or trainers integrate platform resources and their own resources, set up exclusive online courses for their students and employees, and carry out online and offline hybrid Teaching or training.
A mobile education software created for vocational education, the Smart Vocational Education app provides high-quality digital resources and online application services to vocational education teachers, students, corporate employees and social learners, and promotes the development of vocational educators. professional study.
This platform is a designated platform for the national "Vocational Education Professional Teaching Resource Library" project construction results to be shared with the whole society. It provides high-quality digital resources and online services for the majority of vocational education teachers, students, corporate employees and social learners. Application services promote the reform of vocational education and teaching and promote the construction of a learning society.
3. With the establishment of the Chengdu-Chongqing Financial Center, which listed companies will be in the spotlight
The company’s main businesses include securities and futures brokerage, investment banking, and operating business, asset management business, etc. In addition, the company also has New Third Board business, over-the-counter market business, etc., and conducts private equity, direct equity investment, alternative investment, cross-border and overseas financing and other businesses through subsidiaries. The company is based in the west, radiates across the country, and goes overseas. After years of development, it has complete business licenses and its main businesses have unique characteristics. It has strong capabilities to provide full-chain comprehensive securities services to domestic and foreign enterprises, institutions, individuals and government customers. As of June 30, 2021, the company has 4 first-level subsidiaries and 121 securities branches.
As private equityAs a fund business platform, Southwest Securities actively explores project sources, focusing on semiconductors, biomedicine, high-end equipment manufacturing, artificial intelligence, transportation and other industries. As of June 30, 2021, the cumulative fund size under management is approximately 1.3 billion yuan ( Subscription).
As the only municipality directly under the Central Government in the western region of my country, Chongqing is the gathering point of many national strategies. It also enjoys the “Belt and Road Initiative”, the Western Development, the Chengdu-Chongqing Twin Cities Economic Circle, and the Yangtze River Economic Belt. With the combined advantages of various policies such as the China-Singapore Strategic Connectivity Project, the economy has developed rapidly. As the only legal person listed securities company in Chongqing, the company will fully absorb and utilize a number of national strategic policy dividends planned in the 14th Five-Year Plan, vigorously serve national and regional strategies, and actively promote the company's own reform and development under policy opportunities. .
4. Rural e-commerce application process
Rural e-commerce application process:
1. You must have your own address to use as a service station .
Second, you must have your own team, not to mention many people, but these people must understand this knowledge.
3. Submit the completed information to the Alibaba rural project team in the county where you are located and wait for approval. The qualification review specifically includes:
1. DSR score of the store in the past 6 months Three indicators ≥4.6 (if the store has been open for less than 6 months, it will be counted from the date of opening);
2. 0 points for serious violations of Class B, 12 points for Class A violations, 0 points for fake products, and falsehoods 0 points for transaction;
3. Store opening time ≥ 365 days;
4. Store praise rate ≥ 98%;
5. Manual intervention in the past month The number of transactions accounts for ≤1%, or the number of transactions is ≤6 (digital sellers must not exceed 4 transactions);
6. Market stores have a star rating of 1 diamond or above.
4. After approval, you can start business.
(4) How blockchain can help veterans expand reading:
In the process of rural Taobao spreading from point to area, what needs to be solved urgently is Rural e-commerce infrastructure is imperfect. In rural areas in remote areas, it is difficult for some logistics to penetrate into natural villages, and express delivery and distribution cannot arrive in time. Not only that, there is a shortage of talents who know how to operate computers and are suitable for rural e-commerce, and older villagers have low awareness of rural e-commerce. These problems have restricted the development of rural e-commerce.
In addition to government support, Alibaba provides technical guidance. Facing the huge rural market, rural Taobao partners feel unprecedented development opportunities.
"Rural Taobao will solve problems such as difficulty in buying and selling and last-mile delivery. Rural Taobao will integrate more express delivery companies so that the logistics network can cover every village." He Bo said that rural e-commerce The maturity of business has not only brought the villagersThe convenience of life and the renewal of concepts also inject new vitality into the countryside and accelerate the construction of urban-rural integration in the true sense.
Network-Cuntao
5. New trends and new trends in the development of global big data
New trends and new trends in the development of global big data Trend
At present, with the rapid popularization of mobile Internet, smart hardware and the Internet of Things, the total amount of global data is showing an exponential growth trend. At the same time, advanced data analysis technology innovations such as machine learning are also becoming increasingly active, making big data The hidden value can be revealed to a greater extent, and a new era that pays more attention to the value of data is quietly coming.
The 2017 "World Digital Competitiveness Ranking" of the International School of Management in Lausanne, Switzerland, shows that the digital competitiveness of various countries is highly consistent with its overall competitiveness. That is, countries with strong digital competitiveness also have strong overall competitiveness. At the same time, Disruptive innovation is more likely to occur. In fact, developed countries represented by the United States, the United Kingdom, South Korea, and Japan have always attached great importance to the important role of big data in promoting economic development and social change, and improving the overall competitiveness of the country. Currently, big data is regarded as important. Strategic resources, vigorously seize the first-mover advantages in big data technology and industrial development, actively defend the country's data sovereignty, and strive to take the lead in the digital economy era. We may be able to glimpse new trends in the development of big data from the new initiatives taken by various countries to develop big data.
The United States: Steady implementation of the "three-step" strategy to create a future-oriented big data innovation ecosystem
The United States is the first country to elevate big data from a commercial concept to a national strategy. Through the steady implementation of the "three-step" strategy strategy, and has comprehensively built global leading advantages in big data technology research and development, commercial applications, and ensuring national security.
The first step is to quickly deploy big data core technology research and actively develop big data applications in some fields. In 2012, the White House Office of Science and Technology Policy released the "Big Data Research and Development Initiative" to enhance the ability to obtain knowledge and mine value from massive and complex data, thereby accelerating the pace of innovation in the fields of science and engineering. The second step is to adjust the policy framework and laws and regulations to actively respond to privacy protection and other issues brought about by the development of big data. In 2014, the United States released the white paper "Big Data: Seizing Opportunities, Protecting Values", which once again reiterated the need to seize the major opportunities that big data can bring to economic and social development, while also being highly vigilant about the privacy and fairness brought about by big data applications. and other issues, and deeply analyze the governance challenges that may be faced with a positive and pragmatic attitude. The third step is to strengthen the data-driven system and capacity building to provide long-term guarantee for improving the country's overall competitiveness. In 2016, the United States released the Federal Big Data Research and Development Strategic Plan, forming the top level of a system covering seven dimensions: technology research and development, data credibility, infrastructure, data openness and sharing, privacy security and ethics, talent training, and multi-agent collaboration. Design and create a future-oriented big data innovation ecosystem.
After Trump took office as President of the United States, he put great emphasis on big data applications and its industrial development.We will continue to pay attention to the development and urge relevant departments to implement major big data projects, build and open high-quality databases, strengthen big data infrastructure such as 5G, the Internet of Things, and high-speed broadband Internet, and promote digital trade and cross-border data flows. In April 2017, the U.S. Department of Energy and the Department of Veterans Affairs jointly launched the Million Veteran Project (MVP), hoping to use machine learning technology to analyze massive data to improve the health status of veterans. In September 2017, the Agency for Healthcare Research and Quality released the first publicly available database in the United States, which includes more than 600 health systems across the United States. The White House Office of Science and Technology Policy has been actively cooperating with other countries to prevent regulatory obstacles in the digital economy, promote information flow, and oppose digital localization.
The United Kingdom: seize the opportunities of the big data industry to cope with the economic challenges after Brexit
In the early days of the development of big data, the United Kingdom, based on the experience and practices of the United States, fully combined its own characteristics and needs to increase big data research and development Invest and strengthen top-level design, focusing on some application areas to make key breakthroughs. Recently, the UK has paid special attention to the role of big data in driving economic growth. It has intensively released "Digital Strategy 2017" and "Industrial Strategy: Building a Britain Fit for the Future". It is hoped that by 2025, the contribution of the digital economy to the country's total economic output will reach 200 billion. The British pound actively responds to the challenges of slowing economic growth that may be brought about by Brexit.
In 2012, the UK ranked big data as the first of the eight forward-looking technology fields, investing 189 million pounds in one-time for related scientific research and innovation, accounting for 38.6% of the total investment in the eight fields, far exceeding the other seven fields. fields. Subsequently, the UK elevated the all-round building of data capabilities to a national strategy. In 2013, it released "Seizing the Opportunities Brought by Data: The UK Data Capabilities Strategic Plan", which proposed human capital (R&D talents and people who are good at using data), infrastructure and Software and hardware development capabilities, as well as rich and open data assets are the core of the development of big data and are related to whether you can take the lead in future competition. The strategy also proposes 11 specific action plans to unleash huge digital potential in just two to three years. From 2010 to 2015, the digital economy's contribution to the UK's economic value added increased by 21.7%, exceeding the 17.4% growth rate of economic value added during the same period. In 2015, the scale of the digital economy was 118 billion pounds, accounting for 10% of the economic value added. The ratio exceeded 7%, with the total export value of digital goods and services exceeding 50 billion pounds.
In order to mine greater value from data, create and maintain an economic system that can maintain more income and growth, and at the same time allow the whole society to benefit from it, the British government proposed a new era in March 2017 The top-level design for developing the digital economy is "Digital Strategy 2017". The new strategy proposes seven major goals and corresponding measures, especially higher standard requirements for each goal. The first is to create world-class digital infrastructure, the second is to enable everyone to acquire the required digital skills, and the third is to become the most suitable environment for entrepreneurship and growth of digital enterprises.The country, fourthly, promotes every enterprise to successfully realize digital and intelligent transformation; fifthly, it has the safest network security environment; sixthly, it creates a platform-based government to provide the public with the highest quality digital public services; seventhly, it fully releases all kinds of data It also solves issues such as privacy and ethics while meeting its potential.
In November 2017, the UK released the white paper "Industrial Strategy: Building a UK Fit for the Future" to the whole society, emphasizing that the UK should actively respond to the four major issues of artificial intelligence and big data, green growth, aging society and future mobility. Challenge, calling on all parties to work closely to promote the research, development and application of new technologies to ensure that the UK is always at the forefront of future development and to maximize the economic and social benefits of this round of technological change. To this end, the UK released the "Industrial Strategy: Artificial Intelligence" report at the end of April 2018, aiming to lead the development of global artificial intelligence and big data, from encouraging innovation, cultivating and gathering talents, upgrading infrastructure, optimizing the business environment and promoting regional balance. A series of practical measures have been proposed in five major dimensions including development.
South Korea: Responding to the Fourth Industrial Revolution with technologies such as big data as the core
For many years, South Korea’s smart terminal penetration rate and mobile Internet access speed have been among the best in the world, which has made its data output The quantity has also reached the world's advanced level. In order to make full use of this natural advantage, South Korea formulated a big data development strategy very early and urged big data to serve as the engine of economic growth. At the end of 2016, South Korea released the "Mid- and Long-term Comprehensive Countermeasures for an Intelligent Information Society" based on big data and other technologies to actively respond to the challenges of the fourth industrial revolution.
In December 2013, multiple departments in South Korea jointly released the "Big Data Industry Development Strategy", focusing development on the construction of big data infrastructure and the creation of the big data market. At the beginning of 2015, South Korea made a major judgment that the world has entered the era of Big Data 2.0. Big data technology is becoming increasingly sophisticated, professional services are becoming increasingly diverse, and data monetization and innovative business models are the main development trends of big data in the future. Based on this, in the "K-ICT" strategy released in the same year, South Korea defined the big data industry as one of the nine strategic industries, with the goal of making South Korea one of the world's top three big data powers by 2019. South Korea also attaches great importance to learning from the experience of other countries. After China released the "Big Data Development Survey Report" in May 2015, South Korea conducted a comparative analysis of the application of big data in China and South Korea, focusing on the application level and big data of South Korea. A series of new measures have been proposed to address the problem of market incoordination.
The arrival of the fourth wave of the global industrial revolution in the past two years has forced South Korea to re-examine the development of its own intelligent manufacturing and information technology. At the end of 2016, it proposed the "Mid- and Long-term Comprehensive Countermeasures for an Intelligent Information Society" to integrate big data and its related technologies are defined as the core elements of the intelligent information society, and specific development goals and measures are proposed.
First, fully tap the value of data resources and strengthen the source of future competitiveness. Build an open and shared large-scale data infrastructure to achieve 320Open data from public institutions; promote data circulation and use, activate the data trading market, and promote value-oriented transactions of public and private data; activate data analysis companies, and the scale of professional data service companies will reach 100 by 2020; cultivate large-scale Data professionals will increase the number of data scientists trained each year from 500 in 2017 to 1,000 in 2030; develop blockchain technology to improve the reliability of data management, etc. The second is to build a solid foundation for big data technology. Strengthen mathematical methodology research, provide long-term and stable support for research on next-generation computing technologies such as new learning inference, quantum computing, and neuromorphic chips, promote the open sharing of scientific research big data, promote the construction of industrial data centers, and strengthen industry-university-research cooperation to jointly develop industrial common technologies. The third is to build a hyper-connected network environment in response to data service needs. Ensure the supply of frequency resources, advance the 5G commercialization process in an orderly manner, realize large-scale inter-machine communication, and realize real-time hyper-connection between different business networks; promote the optimization of communication operator systems and eliminate barriers for latecomers to enter the operation industry; further strengthen Internet of Things and cloud computing infrastructure and making full use of smart sensor data; introducing quantum communications and security networks in stages.
New trends in the development of big data
Based on the new trends and new initiatives in the above typical countries, we can discover new trends in the development of global big data at present and in the future.
First, big data is increasingly integrated with artificial intelligence, cloud computing, Internet of Things, blockchain and other technologies, becoming a strategic technology for countries to seize future development opportunities. The UK's emphasis on the development of big data and artificial intelligence in its industrial strategy is likely to drive the existing goods and service markets to be disrupted and replaced. Japan defines big data, the Internet of Things and artificial intelligence as common technologies essential for building a super-intelligent social service platform. South Korea is similar to Japan in defining an intelligent information society as "a society where ICBM (Internet of Things, cloud services, big data and mobile phones) and AI (artificial intelligence) are integrated."
Second, the importance of big data resources to the economic and political games of various countries has become more prominent. In the latest version of the U.S. National Security Strategy, Trump once again likened "data" to a kind of energy. He believes that mastering data and related capabilities is the most powerful tool for the continued growth of the U.S. economy, effective resistance to hostile ideologies, and deployment and construction. Military force and so on constitute the most basic guarantee. The recent "Facebook crisis" incident, coupled with the involvement of "Cambridge Analytica" and its parent company "Strategic Communications Laboratory" in recent years' leadership election activities in many countries, have made big data resources and related technologies a problem for some national interest groups and Enterprises are an important means of influencing political ecology and social security, and the risks faced by the political and social development of various countries have become more complex and unpredictable.
Third, the basic conditions for big data application have undergone leap-forward changes. On the one hand, the breadth and depth of government data openness will be further broadened. The advancement of multi-source data fusion technology provides technical guarantee for the improvement of the digitalization and intelligence level of public services. The standardization and openness of data will become an important step for countries to build service-oriented governments. andResource guarantee for platform government. On the other hand, the infrastructure for big data applications will become facilities similar to water, electricity and heating, becoming an indispensable part of people's lives. This includes data collection facilities such as the Internet of Things and intelligent hardware, ultra-high-speed data transmission facilities such as 5G and optical communications, computing facilities such as supercomputers, cloud computing and edge computing, as well as new storage facilities, etc.
Fourth, big data security brings more severe challenges to countries in achieving "balanced" development. In the big data development strategies of various countries, different countries and regions have different emphasis on "open data sharing" and "personal information protection". For example, the European Union hopes to maximize the protection of personal privacy through mandatory unified standards, while the United States is relatively weak. Legal constraints and the hope of fully mobilizing the initiative of enterprises pose new problems to the future integration and development of international rules for global big data. At the same time, the rights and obligations of big data companies must also be rebalanced. Too strict supervision will restrict the pace of corporate innovation. However, if too much is let go, in practice, large-scale infringement of personal privacy by companies will inevitably occur.
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