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Artificial intelligence AI talent shortage
Artificial intelligence AI talent shortage
What level of artificial intelligence talent gap is serious
Each company bosses believe, for those who know how to construct the system of artificial intelligence talent is very important, but the competition in the usual companies such talent is very intense, it will be a rampant recruitment market enterprises, the lack of artificial intelligence personnel directly from those top researchers pay up to 7 digits.
But what is the level of the talent scarcity of artificial intelligence?
Last year, Element AI Inc., a Montreal based start-up, evaluated that less than 10 thousand people in the world had the expertise needed to create machine learning system. This number has been widely reported in media coverage and in the recruitment company, although it is not clear how true artificial intelligence is done. In December last year, Tencent Inc released the evaluation of AI talents worldwide. This number has increased to 200 thousand to 300 thousand people, who are either AI seminars or practitioners.
So which data is correct in the end?
Element AI has also searched for doctoral degrees since 2015. Their personal materials also mentioned technical terms such as deep learning, artificial neural network, computer vision, natural language processing or robotics. In addition, in order to reduce the cost, the programming skills of programming language, such as Python, TensorFlow, or Theano, are required.
The report says that at the forefront of AI research, there is another group of about 5000 people. They are publishing papers and making speeches at academic conferences. After the cancellation of the doctoral degree from 2015, Element AI said that 90 thousand people in the world had the corresponding skills, but this data is much larger than their other estimates, but still far below that of Tencent.
The company said a rough estimate of "less than 10 thousand people" was based on people who had been active in academic conferences over the past 7 years.
Element AI admitted that my data tend to be western and English oriented, and may be experts, especially in China and Japan. The company's report says the United States is the first choice of artificial intelligence in the world, followed by Britain and Canada. In Europe, a large number of artificial intelligence experts were found in Germany.
But Francois Gane and Jean-Francois, the company's founder and chief executive, said that the purpose of evaluating the data is to prove the serious shortage of talents, so that the government and universities will devote more efforts to the cultivation of Gagne talents. The shortage of talent is also a barrier to the ability of artificial intelligence itself.
As more universities teach data science and how to set up artificial intelligence processing plan at the undergraduate and master level, the problem of talent shortage will gradually ease. But it takes at least 3 to 4 years to make real compensation.
Each company bosses believe, for those who know how to construct the system of artificial intelligence talent is very important, but the competition in the usual companies such talent is very intense, it will be a rampant recruitment market enterprises, the lack of artificial intelligence personnel directly from those top researchers pay up to 7 digits.
But what is the level of the talent scarcity of artificial intelligence?
Last year, Element AI Inc., a Montreal based start-up, evaluated that less than 10 thousand people in the world had the expertise needed to create machine learning system. This number has been widely reported in media coverage and in the recruitment company, although it is not clear how true artificial intelligence is done. In December last year, Tencent Inc released the evaluation of AI talents worldwide. This number has increased to 200 thousand to 300 thousand people, who are either AI seminars or practitioners.
So which data is correct in the end?
The answer is very important for those who are trying to decide whether to set up their own AI and data science team, or cooperate with consulting companies and third parties to create artificial intelligence plan for them. This will directly affect the salary that the artificial intelligence experts can get.
Element AI has also searched for doctoral degrees since 2015. Their personal materials also mentioned technical terms such as deep learning, artificial neural network, computer vision, natural language processing or robotics. In addition, in order to reduce the cost, the programming skills of programming language, such as Python, TensorFlow, or Theano, are required.
The report says that at the forefront of AI research, there is another group of about 5000 people. They are publishing papers and making speeches at academic conferences. After the cancellation of the doctoral degree from 2015, Element AI said that 90 thousand people in the world had the corresponding skills, but this data is much larger than their other estimates, but still far below that of Tencent.
The company said a rough estimate of "less than 10 thousand people" was based on people who had been active in academic conferences over the past 7 years.
Element AI admitted that my data tend to be western and English oriented, and may be experts, especially in China and Japan. The company's report says the United States is the first choice of artificial intelligence in the world, followed by Britain and Canada. In Europe, a large number of artificial intelligence experts were found in Germany.
But Francois Gane and Jean-Francois, the company's founder and chief executive, said that the purpose of evaluating the data is to prove the serious shortage of talents, so that the government and universities will devote more efforts to the cultivation of Gagne talents. The shortage of talent is also a barrier to the ability of artificial intelligence itself.
As more universities teach data science and how to set up artificial intelligence processing plan at the undergraduate and master level, the problem of talent shortage will gradually ease. But it takes at least 3 to 4 years to make real compensation.