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Supportive government framework and policies are expected to enable the Asia-Pacific (APAC) region to emerge as the global epicenter for the growth of artificial intelligence (AI), according to GlobalData.

Several countries across the region are focusing on leveraging AI, enhancing productivity and competitiveness. Though the key objectives of different government entities may vary from each other, all of them want to leverage their strengths to emerge either as AI innovation drivers or leaders.

“Despite their different priorities, countries strive to accomplish four common and prime objectives by leveraging AI – formulate policies for workforce in an automated economy, job creation across emerging sectors which leverage new technologies, build data ecosystem to be leveraged by cross-verticals to foster innovations and intelligent mitigation of impact on workers impacted by adopting AI and risk reduction,” commented Sunil Kumar Verma, Lead ICT analyst at GlobalData.

Most countries in APAC have had AI policies and initiatives in place for the past five years – be it Japan’s Artificial Intelligence Technology Strategy to promote the development of AI and priorities for industrialisation or South Korea’s US$21bn (KRW24.2 trillion) budget to develop science and technology and AI sectors.

Thailand had formulated AI ethics guidelines last year, undertaken by the Digital Economy and Society (DES) Ministry of Thailand, to cater to the country’s competitiveness and sustainable development. While Malaysia has announced forming a National Data and Artificial Intelligence Policy by mid-2020, to position the country as a hub in South-East Asia for grooming AI talent, and support its efforts in building commercial AI ecosystem. Indonesia is expected to introduce a national strategy for supporting capabilities development in technologies related to AI. Similarly, the Philippines too is formulating an AI road map to improve its productivity and economic growth.

Sunil concludes: “Application scenarios across various verticals continue to move from divided to a unified and customised methodology. The need for digital governance and collaborative approach with the technology companies would further facilitate in the scaling up of enterprises and government priorities in the AI industry chain.”

 

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