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2023年亚太地区人工智能准备指数(英)-22页.pdfVIP专享VIP免费优质

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Asia Pacific AI Readiness Index 20231. Executive Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.1 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.2 Key Findings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42. Main Findings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2.1 Overall AI Readiness . . . . . . . . . . . . . . . . . . . . . . . . 5 2.2 Government Readiness . . . . . . . . . . . . . . . . . . . . . . 7 2.3 Business Readiness . . . . . . . . . . . . . . . . . . . . . . . . 113. Recommendations . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14Appendix I Methodology . . . . . . . . . . . . . . . . . . . . . . . . . . 17Appendix II Correlation Analysis between AI Readiness and Economic Performance . . . . 19Appendix III References . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20Contents 21.1 BackgroundSince 2019, when the first edition of the Asia-Pacific AI Readiness Index was released, artificial intelligence (AI) has become an everyday reality for consumers, businesses, and governments. This accelerated in 2023 with the emergence of generative AI, which has become one of the most impactful technology launches ever, redefining how we view and respond to the impact of AI.According to a recent McKinsey study, generative AI alone could add the equivalent of USD2.6 trillion to USD4.4 trillion in economic benefits annually.1 In Australia, it is estimated that generative AI could contribute up to AUD115 billion annually to the economy by 2030.2 In Japan, it is estimated generative AI can unlock USD1.1 trillion in productive capacity.3With generative AI now more capable and more widely available than before, consumers are using it for their daily information needs, and companies are incorporating it into their operations. As a result, two-thirds (67 percent) of IT leaders are prioritising generative AI for their business within the next 18 months,4 with one-third (33 percent) claiming it as a top priority.5 Likewise, 72 percent of companies say they will significantly increase their investments in AI over the next three years,6 and 65 percent of business leaders indicate they are either accelerating their existing AI strategies or creating an AI strategy for the first time.7 At Salesforce, we are delivering approximately 200 billion AI-powered predictions every day, up from 6.5 billion predictions in October 2019.8 Salesforce AI Cloud brings together AI, data, analytics, and automation to provide trusted, open, real-time generative AI that is enterprise-ready. 31. Executive SummaryThe adoption and utilisation of generative AI requires a level of AI readiness, which ...

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