HK should not be left behind in competition for AI talent – ejinsight

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There are approximately 300,000 artificial intelligence (Al) researchers and practitioners in the world, while the market demand for AI talent is in the millions, according to the Global AI Talent White Paper released by Tencent Research Institute in December 2017.

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Openness is the best strategy to attract global talents – Telecom Review Asia Pacific

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Acquiring foreign talent is proved to be a shortcut to promote social and economic development of a place. The United States being well known as the melting pot of various nationalities is a typical example in this respect.

Social diversity can enhance Hong Kong’s innovative capability – Harbour Times

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Acquiring innovation and technology talents from overseas has proven to be a shortcut to improve the economic development of a city and even a country. According to a study from the World Intellectual Property Organization (WIPO), immigrant inventors owned twice as many patents as that of the native Americans in the United States from 1990 to 2010. That’s the reason the Hong Kong government is rolling out a fast track immigration scheme to attract more technology professionals.

Addressing the AI talent shortage – ejinsight

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Artificial intelligence (Al) is regarded as a key to the world’s future development. For businesses, acquisition of talent is crucial, which has led to universities becoming an important battlefield.

Lessons SAR could learn in bid to attract more talent – China Daily

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We recently learned that President Xi Jinping had instructed relevant State agencies to help make Hong Kong a global innovation hub. Just earlier this month, the Hong Kong Immigration Department launched a three-year Technology Talent Admission Scheme. The new scheme simplifies application procedures and cuts processing time from four weeks to two weeks. A company can be granted a maximum quota of 100 each year for talent coming from the world’s most popular fields: biotechnology, artificial intelligence, cybersecurity, robotics, big data, financial technology and materials science.