麦肯锡：挖掘人工智能和新一代人工智能在 TMT 领域的潜力( 英文 126页)

内容

简介：生成式 AI 的前景和挑战 2

新一代人工智能现状 4

生成式人工智能的经济潜力 5

充分利用生成式人工智能机会：向首席执行官提出的六个问题 33

行业观点：电信运营商 38

人工智能原生电信公司：彻底转型，在动荡时期蓬勃发展 39

生成式人工智能如何重振电信公司的盈利能力 48

生成式 AI 用例：未来电信公司发展指南 60

转型中的科技人才：重塑电信公司的七大技术趋势 70

部署生成式人工智能 81

未来的组织：由人工智能赋能，由人驱动 82

数据红利：推动生成式人工智能 91

生成式 AI 技术的世代时刻：CIO 和 CTO 指南 101

随着人工智能的进步，监管机构和风险职能部门急于跟上步伐 113

未来会怎样 119

将塑造 2024 年议程的六大主要人工智能趋势 120

附录：实践中的生成式人工智能解决方案 125

词汇表 127

Contents

Introduction: The promise and the challenge of generative AI 2

State of the Art 4

The economic potential of generative AI 5

Making the most of the generative AI opportunity: Six questions for CEOs 33

Sector View: Telecom Operators 38

The AI-native telco: Radical transformation to thrive in turbulent times 39

How generative AI could revitalize profitability for telcos 48

Generative AI use cases: A guide to developing the telco of the future 60

Tech talent in transition: Seven technology trends reshaping telcos 70

Deploying Gen AI 81

The organization of the future: Enabled by gen AI, driven by people 82

The data dividend: Fueling generative AI 91

Technology’s generational moment with generative AI: A CIO and CTO guide 101

As gen AI advances, regulators—and risk functions—rush to keep pace 113

What the Future Holds 119

Six major gen AI trends that will shape 2024’s agenda 120

Appendix: Generative AI solutions in action 125

Glossary 127

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