Generative AI Transformation Blueprint
Almeida, I.
- 出版商: Now Next Later AI
- 出版日期: 2023-11-30
- 售價: $790
- 貴賓價: 9.5 折 $751
- 語言: 英文
- 頁數: 128
- 裝訂: Quality Paper - also called trade paper
- ISBN: 0645977985
- ISBN-13: 9780645977981
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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
2024 Edition! This practical and concise guide provides senior decision-makers with a clear, accessible roadmap for harnessing the power of generative AI, enhancing innovation, and boosting business outcomes.
Drawing on insights from AI-enabled business transformations in diverse sectors, it presents a validated strategic approach. This blueprint not only outlines best practices but also showcases pioneering use cases, integrating them into a cohesive framework for practical implementation. This scenario-based approach helps leaders understand where and how to apply the practices outlined.
Spanning across areas from strategic alignment and talent development to ethical governance and sustaining a competitive edge amid relentless underlying progress, it delivers clarity for charting an optimal Generative AI roadmap.
This book is designed for busy executives and can be read in less than two hours. For a more in-depth exploration of Generative AI for business, check out our book "Introduction to Large Language Models for Business Leaders: Responsible AI Strategy Beyond Fear and Hype."
Who this Book is For
The core audience comprises senior executives like CEOs, Transformation advisors, strategic planners, technology heads, product leaders or functional unit heads keen on harnessing generative AI for a competitive edge but needing authoritative counsel consolidating recent lessons into a crisp actionable package to aid planning.
Key Topics Covered
- Understanding Generative AI: What it is, key capabilities and applications, strengths and limitations.
- Strategic Alignment: Mapping generative AI to business goals, prioritizing high-impact use cases, managing risks.
- Talent and Skills: Developing in-house capabilities through upskilling programs, attracting and retaining external AI talent.
- Technology Integration: Assessing IT infrastructure readiness, optimizing make vs buy decisions for AI solutions.
- Implementation and Scaling: Pilot testing for viability, expanding validated applications through metrics-driven scaling.
- Risk Management and Ethics: Governing biases and reliability issues, safeguarding data privacy and security.
- Organizational Change: Securing leadership commitment, preparing the workforce to adopt new AI-powered processes.
- Continuous Improvement: Quantifying value through KPIs, optimizing models through responsive feedback loops.
- Future-Proofing: Investing in R&D for sustained innovation, building agility to adapt to rapid AI progress.
Featuring use studies, business scenarios, practical frameworks, and research insights from top consultancies and AI leaders, this book delivers a visionary yet pragmatic roadmap for AI transformation. A must-read guide for any organization looking to leverage generative AI for competitive advantage.
商品描述(中文翻譯)
2024年版!這本實用而簡潔的指南為高級決策者提供了一個清晰、易於理解的路線圖,以利用生成式人工智慧的力量,增強創新能力並提升業務成果。
通過借鑒不同行業中基於人工智慧的業務轉型的見解,本書提出了一種經過驗證的戰略方法。這個藍圖不僅概述了最佳實踐,還展示了開創性的應用案例,將它們整合到一個統一的實施框架中。這種基於情景的方法有助於領導者理解在哪裡以及如何應用所概述的實踐。
從戰略對齊和人才發展到道德治理和在不斷進步的背景下保持競爭優勢,本書涵蓋了各個領域,為制定最佳生成式人工智慧路線圖提供了清晰的指引。
本書專為忙碌的高管設計,閱讀時間不到兩個小時。如果您想更深入地探索生成式人工智慧在商業領域的應用,請查閱我們的書籍《商業領袖的大型語言模型介紹:超越恐懼和炒作的負責人工智慧戰略》。
本書的核心讀者包括CEO、轉型顧問、戰略規劃者、技術負責人、產品領導者或功能單位負責人,他們渴望利用生成式人工智慧獲得競爭優勢,但需要權威的指導,將最近的經驗教訓整合成一個簡潔的可行方案,以幫助規劃。
主要涵蓋的主題包括:
- 理解生成式人工智慧:它是什麼,關鍵能力和應用,優勢和限制。
- 战略對齊:將生成式人工智慧與業務目標相匹配,優先考慮高影響力的應用案例,管理風險。
- 人才和技能:通過提升技能計劃開發內部能力,吸引和留住外部人工智慧人才。
- 技術整合:評估IT基礎設施準備情況,優化AI解決方案的自製與外購決策。
- 實施和擴展:通過基於指標的擴展,通過試點測試確定可行性,擴大驗證的應用。
- 風險管理和道德:管理偏見和可靠性問題,保護數據隱私和安全。
- 組織變革:確保領導層的承諾,使員工能夠接受新的基於人工智慧的流程。
- 持續改進:通過關鍵績效指標量化價值,通過反饋循環優化模型。
- 未來準備:投資研發以實現持續創新,建立適應快速人工智慧進展的靈活性。
本書提供了來自頂級咨詢公司和人工智慧領域的研究見解,並以使用案例、商業情景、實用框架和研究洞察為特色,為人工智慧轉型提供了具有遠見但實用的路線圖。對於任何希望利用生成式人工智慧獲得競爭優勢的組織來說,這是一本必讀指南。