In recent years, with the maturity of related technologies such as the Internet, Internet of Things, cloud computing, big data, and parallel computing, artificial intelligence technology has also developed rapidly under the original accumulation and has matured. Globally, we are welcoming a new round of innovation and innovation. Artificial intelligence has begun to enter the human production and life from the laboratory and enter a stage of innovation and development that is significantly different from the past.
In July this year, the State Council issued the "New Generation Artificial Intelligence Development Plan" (hereinafter referred to as "Planning"). The formulation of the national strategy marks that artificial intelligence has become a new focus of international competition. Artificial intelligence is a strategic technology that leads the future. The major developed countries in the world regard the development of artificial intelligence as a major strategy to enhance national competitiveness and safeguard national security. They have intensified the introduction of planning and policies, and strengthened the deployment around core technologies, top talents, and standards. Trying to take the lead in the new round of international technology competition.
Among many factors, talent is the core of the core. The competition of artificial intelligence is essentially the competition of talents.
The global artificial intelligence talents just need hunger and supply shortage. On the 6th of 2017, the global AI talent report released by LinkedIn, the global workplace social platform, shows that the global artificial intelligence (AI) talent demand has increased eight times in three years, and the practitioners reached 190. 10,000, the proportion of people with more than 10 years of experience in the industry accounted for 65.4%.
In China, the quantity and quality of artificial intelligence talents cannot keep up with the development of the industry. In the AI ​​research, China lacks the most top-notch research talents, and the talents that can guide the promotion of the entire industry in real sense are very scarce. Compared with the United States, which has accumulated more than 60 years in the field of artificial intelligence, the United States has a complete talented echelon, while China’s basic talent pool and talent pools in hotspots are still in the trapping stage, and the total number of industrial talents has reached half of that of the United States. In terms of talent structure, the number of senior artificial intelligence talents in China is significantly different from that in the United States. The ten-year practitioners account for only 38.7%, far lower than the US 71.5%, and in terms of quantity, it is one-thirtieth of the US.
As a top priority for the development of artificial intelligence, what kind of talent cultivation strategy can open up active water for industry and enterprises?
On the one hand, artificial intelligence has come to the forefront of business and capital. In the current talent gap, acquiring talent is the chip that won the first battle of this long-lasting war. The company's talent strategy mainly includes both quantity and quality. How many talents are attracted and what kind of functions are given to them determines the company's talent strategy. Leading companies such as BATJ have plundered the competition. Alibaba has hired the highest-ranking Chinese scientist Ren Xiaofeng from Seattle, USA, and entered the company's artificial intelligence R&D core team. Baidu, Didi and other domestic Internet companies entered the US high-tech center "Silicon Valley" and Google, Amazon, Microsoft and other companies in the form of research institutes to set off a fierce battle for AI talent. Entrepreneurial companies are also staking through elite strategies. The startups attract talents with high salaries and high benefits, and financial technology talents in the fields of machine learning and big data modeling are highly sought after. Among them, artificial intelligence talents are the most scarce, and the annual salary is a starting price of one million. It is also common for relatively mature artificial intelligence talents to get millions of dollars in salary. Of course, it’s not just Chinese companies that grab people. A few days ago, Apple’s two recruitment information also showed that the company has established a senior Siri R&D team in rival Amazon’s base camp in Seattle.
On the other hand, colleges and universities, as the source of living water for artificial intelligence talents, have become the key channels for the cultivation and output of artificial intelligence talents, and also an important think tank for enterprises to develop artificial intelligence production, education and research through strategic cooperation.
The United States' school-enterprise linkage, industry-university-research linkage model has also brought a huge win-win advantage. Fei-Fei Li, former head of the artificial intelligence laboratory at Stanford University, joined Google last year to lead the latter's artificial intelligence team. In turn, Google also feeds Stanford University through donations and data sharing to grow together. For example, Uber has dug 40 researchers from the National Robotics Engineering Center at Carnegie Mellon University. Of course, there are also examples of cross-border cooperation between large foreign companies and Chinese universities. Facebook has begun to cooperate with Chinese universities, such as Tsinghua University and Shanghai Jiaotong University. It adopts the same cooperation model as the United States and France, pays attention to university research projects, and provides students with opportunities for internships. As of the end of 2016, IBM cooperated with Chinese universities, and the accumulated personnel, equipment and capital investment was about 4.3 billion yuan. In 2016, IBM supported 59 joint research and innovation projects, with software and hardware support and funds totaling over 100 million yuan in education.
China's artificial intelligence enterprises are mainly concentrated in Beijing, Guangdong, and the Yangtze River Delta. Although the number of Sichuan is not as good as the above three regions, it is significantly higher than other provinces and cities. Universities such as Tsinghua University, Peking University, Institute of Chinese Academy of Sciences, and Nanda University The AI ​​National Key Laboratory has been established. Baidu and Xi'an Jiaotong University jointly built a platform for innovative talents for big data and opened artificial intelligence classes. They reached a cooperation with the Chinese Academy of Sciences under the Chinese Academy of Sciences, and cooperated in personnel training, scientific research, data openness, and resource sharing. The Mavericks Data of the Chengdu Entrepreneurship Enterprise and the Alibaba Complex Science Research Center, which is dedicated to big data, AI technology research and industry, has established the “Big Data and Artificial Intelligence Research Centerâ€. Some big data, complex networks, artificial intelligence research foundation, deep cooperation in technology deepening and application innovation in finance and other fields.
In addition, in order to strengthen the cultivation of artificial intelligence talents' practical ability, innovation ability and employability, enterprises and universities have jointly explored and innovated many new modes and new mechanisms for joint training of talents by schools and enterprises. The relevant person in charge of Baidu campus put forward the viewpoint of "dual teacher system" and got the support of the academic circles. On the one hand, the research mode of the "dual-master system", as a lecturer of the school discipline, regularly imparts practical knowledge and knowledge of the development of the industry to students and even teachers. On the other hand, the teachers and students of the university also have the opportunity to enter the enterprise. Practice technology. IBM has cooperated with Shanghai Jiaotong University Mu College on 2016 to provide more than 60 big data including Hadoop, Spark, Python, R, data analysis, machine learning, etc. in its “Good University Online†MOOC platform. High-quality free courses in the field, the IBM Big Data University Learning Platform and Virtual Labs will be deployed in private data centers within the school in 2017 to better support the school's teaching of big data and data science, and promote student development. Innovative entrepreneurship practice activities. The affiliated middle school of South China Normal University and Keda Xunfei Co., Ltd. jointly established a cutting-edge science and technology laboratory with “School-enterprise cooperation†to jointly promote informationization and apply technologies such as Internet, big data and artificial intelligence to create a model school for smart education. Mavericks Data has partnered with Alibaba Business School to build a “Finance Big Data and Artificial Intelligence Practice Teaching Base†to provide artificial intelligence internships and in-house incubation opportunities for students in the school, to move schools and research into the company, and to Application practices are brought into the classroom. These cooperations have opened up a key combination of artificial intelligence production, learning, and research, forming a good cycle.
For Chinese companies, the future success depends on the current introduction and cultivation strategy of artificial intelligence talents. Intelligent science has not yet established a complete system discipline, and the human life paradigm does not stop the demand for artificial intelligence. In close cooperation with industrial practice, we can consolidate the foundation of artificial intelligence development and form the strategic advantage of artificial intelligence in China.
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