1、1Leveraging the power of AIfor yourbusiness2022ContentsForeword:current AI commercialisation landscapeFour drivers for AI commercialisation1.Macro-environment2.Policy3.Data availability4.Technology improvementTwo paths for AI commercialisation1.AI commercialisation as a technologyAI+:AI-centric busi

2、ness opportunities led by engineers and scientists2.AI commercialisation in industries+AI Focus on value creation led by conventional companies in traditional industriesThe future challenges of AI commercialisation1.How to reduce data usage waste2.How to overcome algorithmic bias 3.How to establish

3、a standardised market access mechanismReference3446668811141618 1819Foreword:current AI commercialisation landscapePut forward as a concept at the Dartmouth Summer Research Project on Artificial Intelligence(DSRPAI)in 1956,and experiencing the following ever-evolving innovation,production and applic

4、ation for decades,Artificial intelligence(AI)has been already beyond abstraction but a prevalent technology that is transforming peoples ordinary life.Moreover,with the rapid development of information technology and the popularisation of the Internet,AI technology has ushered in the third high-spee

5、d growth marked by the deep-learning model proposal in 2006.Research and development,production and application,commercialisation and industrialisation,have been the there main stages of the growth of AI as new technology.Nevertheless,they are not in a constant linear way,as the three steps tend to

6、be performed simultaneously or repeatedly during the whole process.PwC,the professional services firm,estimates that AI could add as much as$15.7 trillion to the global economy by 2030.Nowadays,the basic technology of AI is gradually mature to reach the commercial conditions so that it can play its