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IDC forecasts Asia/Pacific* spending on AI systems to ruse from US$17.6 billion in 2022 to around $32 billion in 2025. Businesses invest in artificial intelligence (AI) to gain a competitive advantage through improved customer insight, increased employee efficiency, and accelerated decision-making.
Dr Chris Marshall, associate vice president, responsible for data, analytics, and AI at IDC Asia/Pacific, says AI adoption and maturity vary. Singapore, Australia, and Japan are leading in using AI at a country level, quickly followed by Malaysia, Thailand, Vietnam, Indonesia, and certain places like South Korea and Hong Kong.
In this PodChats for FutureCIO, Marshall provides clarity on where AI is evolving in Asia/Pacific.
1. Give us a snapshot of the state of AI adoption in Asia today?
2. What are the three most significant hurdles impacting AI development in Asia?
3. In what areas has the pandemic influenced both the adoption and direction in which AI is being integrated into the enterprise?
4. What factors will most influence the maturation/adoption of AI?
5. In the near, what AI use cases will likely see commercial adoption (at scale)?
6. For enterprises to optimise their adoption of AI, what must they undertake first?
7. There are many use cases of AI/machine learning today, how should enterprises chart their AI roadmap?
IDC forecasts Asia/Pacific* spending on AI systems to ruse from US$17.6 billion in 2022 to around $32 billion in 2025. Businesses invest in artificial intelligence (AI) to gain a competitive advantage through improved customer insight, increased employee efficiency, and accelerated decision-making.
Dr Chris Marshall, associate vice president, responsible for data, analytics, and AI at IDC Asia/Pacific, says AI adoption and maturity vary. Singapore, Australia, and Japan are leading in using AI at a country level, quickly followed by Malaysia, Thailand, Vietnam, Indonesia, and certain places like South Korea and Hong Kong.
In this PodChats for FutureCIO, Marshall provides clarity on where AI is evolving in Asia/Pacific.
1. Give us a snapshot of the state of AI adoption in Asia today?
2. What are the three most significant hurdles impacting AI development in Asia?
3. In what areas has the pandemic influenced both the adoption and direction in which AI is being integrated into the enterprise?
4. What factors will most influence the maturation/adoption of AI?
5. In the near, what AI use cases will likely see commercial adoption (at scale)?
6. For enterprises to optimise their adoption of AI, what must they undertake first?
7. There are many use cases of AI/machine learning today, how should enterprises chart their AI roadmap?