【2019.12】人工智能时代的竞争:算法和网络主宰世界时的战略与领导力Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World,共256页。
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在一个又一个行业中,数据、分析和人工智能驱动的流程正在改变工作的性质。
In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work.
虽然我们通常仍将人工智能视为特定技能、业务职能或部门的领域,但我们已经进入了一个新时代,人工智能正在挑战公司的概念。
While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very concept of the firm.
以人工智能为中心的组织展示了一种新的操作架构,重新定义了它们如何创建、捕获、共享和交付价值。
AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value.
Marco Iansiti和Karim R. Lakhani展示了如何围绕数据、分析和人工智能重塑公司,消除了数百年来限制业务增长的规模、范围和学习的传统限制。
Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have constrained business growth for hundreds of years.
从Airbnb到Ant Financial,从Microsoft到Amazon,研究表明,人工智能驱动的流程比传统流程具有更大的可扩展性,推动了大规模的业务范围增长,使公司能够跨越行业边界,并提供强大的学习机会,从而推动更准确、更复杂的预测。
From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, drive massive scope increase, enabling companies to straddle industry boundaries, and enable powerful opportunities for learning–to drive ever more accurate, complex, and sophisticated predictions.
当传统的操作限制被消除后,策略就变成了一个全新的游戏,本书将阐明其规则和可能的结果。
When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear.
提出重新思考业务和运营模式的框架
Present a framework for rethinking business and operating models
解释人工智能驱动/数字和传统/模拟企业之间的“冲突”是如何重塑竞争和改变我们的经济结构的
Explain how “collisions” between AI-driven/digital and traditional/analog firms are reshaping competition and altering the structure of our economy
展示这些冲突如何迫使传统公司改变其运营模式以推动其规模、范围和学习
Show how these collisions force traditional companies to change their operating models to drive scale, scope, and learning
解释运营模式转换所涉及的风险以及如何克服这些风险
Explain the risks involved in operating model transformation and how to overcome them
描述这些公司领导面临的新挑战和责任
Describe the new challenges and responsibilities for the leaders of these firms
这本书是重新思考一个公司在人工智能时代如何竞争和运营的重要指南,其中包括全球最强大、最具创新能力、人工智能驱动的竞争对手,并基于对多个行业的数百家公司的研究成果。
Packed with examples–including the most powerful and innovative global, AI-driven competitors–and based on research in hundreds of firms across many sectors, this is the essential guide for rethinking how your firm competes and operates in the era of AI.