Why did the former head of the Google AI come to the apple? What will he change

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 Why did the former head of the Google AI come to the apple? What will he change


NetEase news April 26th, according to foreign media reports, in April 3rd Apple announced that Googles former head of search and artificial intelligence, John Janandrea (JohnGiannandrea), was responsible for Apples machine learning and artificial intelligence strategy. According to apple, Jan Nand Ray was going directly to Apple CEO Tim Cook. Presentationu3002 It sounds like good news for apples. In the field of artificial intelligence, Apple has been lagging behind Google. At present, Google is a well deserved leader in the field of artificial intelligence. For example, although Google releases digital assistants at a time of five years over apple, the industry generally believes Googles assistant is more useful and helpful than Siri. Perhaps Jan Nand Reas insight as an insider will change the status of AI in Apple Corp. But lets think about another aspect of the story: How did Apple Corp recruit Jan Nand Rea? How did they persuade Jen Nan reya to leave the most successful company in his field? Will the best people get the highest bidder? Its not exactly that. How to attract talent As a person with many years of recruitment experience, I see many top talents jumping from many leading companies to other companies. In order to achieve this success, the company has to attract potential new employees by revealing three specific things: their vision, their problems, and the resources they need to solve the problem. Share the vision Sharing issues Its good to be needed. Potential new employees must be clear about what the companys problems are and where they are, so that they can find ways to solve them. So if a department of a company performs poorly, then the company is the best choice for top talent. Employers must also try to understand their own problems and make their posts sound more attractive. Sharing resources Once recruiters are interested in being part of the vision of the company and trying to solve their problems, they need to know what resources the company can provide to solve the problem. Employers must be prepared to have a competent team, an attractive salary, a comfortable budget and the autonomy of recruitment. When Apple hired Jensen rea, it showed the three things: the vision of the company, including Jan Nand Rea, a big problem to be solved (backward Siri), and the ability to leave top talent out of a company like Google. Now one of Googles most talented talents has become one of Apples most talented talents. For apple and other companies, what does this mean for their exploration of artificial intelligence frontiers? Artificial intelligence recruitment and growth First of all, this means that Apple knows what artificial intelligence is about changing the rules of the game and how it will develop. The study found that, due to the development of artificial intelligence, the global GDP growth in 2030 could be as high as 14%. It also makes artificial intelligence the biggest business opportunity in todays rapidly changing economy. For other companies, it is unfortunate that jensan lea is now leaving the market to embrace apple (the situation may last for a long time), so they may not have a business opportunity like the Apple Corp in the field of artificial intelligence. However, they achieve this goal by recruiting experts or establishing partnerships with them from universities. They are also conducting internal training, which may explain the current efforts of 22000 educated PhD researchers in the field of AI. When they hire outsiders, most companies find talent in the field of data science: Based on job vacancies, salary levels and job satisfaction, data scientists have been rated as the number one in the United States over the past two years. Although it seems a bold move to excavate Jan Nand Rea from Google, it is not entirely unexpected. Over the past three years, Apple has doubled its number of AI professionals in related fields. The number of doctoral students in this field has increased two times. Obviously, apple is working hard to build the most intelligent product. The Apple Corp has been focusing on privacy issues (some speculates why Apples artificial intelligence is behind), and perhaps these professionals will help Apple Corp to make significant progress in artificial intelligence on the premise of ensuring user privacy. Jensan lea is an obvious exception. Before being senior vice president of Google engineering, he was Metawebs chief technical officer, and Metaweb was a company acquired by Google in 2010 to improve the relevance and practicality of Googles search results. Googles search results have made considerable progress in the past eight years. This is a simple and reasonable logical step. We can conclude that Jan Nand Reas work has played a crucial role. Now, as the top participant in Apples machine learning and Artificial Intelligence Strategies - and a powerful motivation to solve the problem - jensan lea may be the killer of the Apple Corp. But Google has a solid technical foundation in AI, and this upheaval will push them to make new innovations. Googles position in the field of artificial intelligence Google is now considered a leader in the AI industry. Its data, computing power and talent pool make it far ahead of its competitors. GoogleBrain is not only successful in improving machine learning (as the search algorithm), but also makes the progress of machine learning more profitable. Because of its great success in AI, its employees in the machine learning field seem to have no intention of leaving the company. Google has always attached great importance to machine learning, and this effort has obviously paid a clear return. Googles top talent in the field of AI is Jeffrey Hinton, a researcher at the Department of artificial intelligence research (GeoffreyHinton). Many people consider him to be a deep learning Godfather. He has a Ph.D. degree from University of Edinburgh and has written or co authored hundreds of hot papers. Because of his university education background and popularity in academia, he may be able to attract talents from his alma mater and other universities to Google. His continuous research undoubtedly expresses his vision for AI, the problems to be solved and the resources needed. As we have discussed, this transparency attracts top talent. What can Google veterans do for Apple Corp? Obviously, Google has invested the necessary resources to become the top player in the field of AI. Apple hired Jan Nand Rea not only to be a solo victory for a prominent figure - it was a potential way to achieve the great knowledge, culture and vision of the great model of artificial intelligence. We can expect to see that the machine from Apple has been improved and strengthened, not only because of the experience of Jan Nand Rea, but also because of his popularity. Will Apple follow him to the Apple Corp as apple begins to provide more attractive AI environments for him? Its still to be observed, but I wont be surprised. After all, hiring a person is not just a matter of putting more tables and chairs. It may be the butterfly effect that leads to the transformation of artificial intelligence. (Han Bing) source: NetEase science and technology report editor: Wang Fengzhi _NT2541 Obviously, Google has invested the necessary resources to become the top player in the field of AI. Apple hired Jan Nand Rea not only to be a solo victory for a prominent figure - it was a potential way to achieve the great knowledge, culture and vision of the great model of artificial intelligence. We can expect to see that the machine from Apple has been improved and strengthened, not only because of the experience of Jan Nand Rea, but also because of his popularity. Will Apple follow him to the Apple Corp as apple begins to provide more attractive AI environments for him? Its still to be observed, but I wont be surprised. After all, hiring a person is not just a matter of putting more tables and chairs. It may be the butterfly effect that leads to the transformation of artificial intelligence. (Han ice)