The AI Value Playbook: How to make AI work in the real world
Weaver-Lambert, Lisa
- 出版商: Packt Publishing
- 出版日期: 2024-08-30
- 售價: $1,840
- 貴賓價: 9.5 折 $1,748
- 語言: 英文
- 頁數: 440
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1835461751
- ISBN-13: 9781835461754
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相關分類:
人工智慧
海外代購書籍(需單獨結帳)
相關主題
商品描述
Learn from real-world examples how leveraging AI, including machine learning and generative AI, is imperative for businesses to navigate risk, drive value, and gain a competitive advantage
Key Features:
- Understand machine learning and generative AI terminology, concepts, and the AI technology stack.
- Learn from diverse real-world case studies narrated by business leaders in their own voice.
- Apply a value-driven approach to AI applications across multiple business sectors.
Book Description:
Business leaders are challenged by the speed of AI innovation and how to navigate disruption and uncertainty. This book is a crucial resource for those who want to understand how to leverage AI to drive business value, drawn from the firsthand experience of those who have been implementing this technology successfully.
The AI Value Playbook focuses on questions frequently posed by leaders and boards. How can businesses adapt to these emerging technologies? How can they start building and deploying AI as a strategic asset to drive efficiency? What risks or threats need to be considered? How quickly can value be created?
This book is a response to those demands. In a series of in-depth and wide-ranging conversations with practitioners, from CEOs leading new generative AI-based companies to Data Scientists and CFOs working in more traditional companies. Our experts share their hard-earned wisdom, talking candidly about their successes and failures, and what excites them about the future. These interviews offer unique insights for business leaders to apply to their own organizations. The book distils a value-driven playbook for how AI can be put to work today.
What You Will Learn:
- Fundamentals of AI concepts and the tech stack
- How AI works with real-world practical applications
- How to integrate into your company's overall strategy
- How to incorporate generative AI in your processes
- How to drive value with sector-wide examples
- How to organize an AI-driven operating model
- How to use AI for competitive advantage
- The dos and don'ts of AI application
Who this book is for:
The AI Value Playbook is aimed at supporting non-technical executives and board members to quickly formulate a perspective on how to integrate AI. This book addresses the gap in data and AI knowledge in leadership teams that have an appetite for nuanced, targeted and practical solutions. It includes which levers and processes to consider to future-proof their business. It speaks to an audience interested in understanding how AI can drive value for their organisations.
Table of Contents
- Introduction
- Overview of AI Concepts and Technology Stack
- Sam Liang, CEO of Otter.ai
- Amr Awadallah, Founder and CEO at Vectara
- Philipp Heltewig, Co-Founder and CEO at Cognigy
- Miao Song, Chief Information O
- Ruben Ortega, General Partner at Enjoy the Work
- Joshua Rubin, Principal AI Scientist at Fiddler AI
- Nadine Thomson, Global Chief Technology O
- Sarvarth Misra, Co-Founder and CEO of ContractPodAi
- Edward Fine, AI and Data Science Consultant, Technologist, and Instructor
- Sanjeevan Bala, Group Chief Data and AI O
- Nathalie Gaveau, AI Tech Entrepreneur and Board Member
- Phil Harvey, Applied AI Architect
- Elizabeth Ajayi, Director, Intelligent Industry at Capgemini Invent
- Louis DiCesari, Head of Data, Analytics and AI at Levi Strauss & Co.
- Vickey Rodrigues, CTO/CDO in Insuretech, Payments, and Healthtech
- Sean McDonald, Former Global Chief Innovation Officer at McCann Worldgroup
- Julie Gray, Head of Data and Internal Systems at Agilio
(N.B. Please use the Read Sample option to see further chapters)
商品描述(中文翻譯)
學習如何利用 AI,包括機器學習和生成式 AI,對企業在應對風險、創造價值和獲得競爭優勢方面是多麼重要的真實案例。
主要特點:
- 理解機器學習和生成式 AI 的術語、概念及 AI 技術堆疊。
- 從商業領袖以其自身聲音敘述的多樣化真實案例中學習。
- 在多個商業領域中應用以價值為驅動的 AI 應用方法。
書籍描述:
商業領袖面臨 AI 創新速度的挑戰,以及如何應對破壞和不確定性。本書是希望了解如何利用 AI 來推動商業價值的人的重要資源,內容來自於那些成功實施這項技術的人的第一手經驗。
《AI 價值手冊》專注於領導者和董事會經常提出的問題。企業如何適應這些新興技術?他們如何開始將 AI 建設和部署為推動效率的戰略資產?需要考慮哪些風險或威脅?價值能多快創造出來?
本書是對這些需求的回應。通過與從領導新生成式 AI 公司的 CEO 到在更傳統公司工作的數據科學家和 CFO 的從業者進行一系列深入且廣泛的對話。我們的專家分享他們辛苦得來的智慧,坦誠地談論他們的成功與失敗,以及他們對未來的興奮之處。這些訪談為商業領袖提供了獨特的見解,以應用於他們自己的組織。本書提煉出一個以價值為驅動的手冊,說明如何在今天將 AI 發揮作用。
你將學到的內容:
- AI 概念和技術堆疊的基本原則
- AI 如何與真實世界的實際應用相結合
- 如何融入公司整體策略
- 如何在你的流程中整合生成式 AI
- 如何通過行業範例推動價值
- 如何組織一個以 AI 驅動的運營模型
- 如何利用 AI 獲得競爭優勢
- AI 應用的注意事項和禁忌
本書適合對象:
《AI 價值手冊》旨在支持非技術性高管和董事會成員快速形成對如何整合 AI 的看法。本書解決了領導團隊在數據和 AI 知識方面的缺口,這些團隊渴望獲得細緻、針對性和實用的解決方案。它包括考慮哪些槓桿和流程以未來保障他們的業務。它針對希望了解 AI 如何為其組織創造價值的讀者。
目錄:
- 引言
- AI 概念和技術堆疊概述
- Sam Liang, Otter.ai CEO
- Amr Awadallah, Vectara 創始人兼 CEO
- Philipp Heltewig, Cognigy 共同創始人兼 CEO
- Miao Song, 首席資訊官
- Ruben Ortega, Enjoy the Work 總合夥人
- Joshua Rubin, Fiddler AI 首席 AI 科學家
- Nadine Thomson, 全球首席技術官
- Sarvarth Misra, ContractPodAi 共同創始人兼 CEO
- Edward Fine, AI 和數據科學顧問、技術專家及講師
- Sanjeevan Bala, 集團首席數據和 AI 官
- Nathalie Gaveau, AI 技術企業家及董事會成員
- Phil Harvey, 應用 AI 架構師
- Elizabeth Ajayi, Capgemini Invent 智能產業總監
- Louis DiCesari, Levi Strauss & Co. 數據、分析和 AI 負責人
- Vickey Rodrigues, 保險科技、支付和健康科技的 CTO/CDO
- Sean McDonald, 前 McCann Worldgroup 全球首席創新官
- Julie Gray, Agilio 數據和內部系統負責人
(注意:請使用「閱讀範本」選項查看後續章節)