Trust. : Responsible AI, Innovation, Privacy and Data Leadership

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Trust. : Responsible AI, Innovation, Privacy and Data Leadership

Shelton Leipzig, Dominique

ウェブストア価格 ¥6,259（本体¥5,690）
Forbes Books（2024/02発売）
外貨定価 US$ 32.99
ポイント 56pt

オンデマンド(OD/POD)版です。キャンセルは承れません。

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製本 Hardcover:ハードカバー版／ページ数 399 p.
言語 ENG
商品コード 9798887501734

Full Description

getAbstract's International Book Award - Business Impact Winner

Every company today relies on data, yet many leadership teams struggle to fully leverage data as an asset while avoiding ethics scandals that erode consumer trust. This indispensable guide provides executives and board members an actionable playbook to transform their organization into an ethical data leader poised for innovation and growth.

Drawing from her decades advising Fortune 100 companies on data strategy, privacy, AI, and digital innovation, author Dominique Shelton Leipzig reveals how to align your data practices with long-term strategic goals, build an ethical data culture focused on trust, avoid costly legal missteps, and drive revenue through responsible AI implementation.

You'll learn the key questions to ask to truly understand your customers, streamline operations with legal AI, monetize data opportunities, and ensure legal compliance in a rapidly evolving regulatory environment. With clear solutions to common data dilemmas, this book gives you the strategies and framework needed to derive maximum value from data while earning customer loyalty.

Become the CEO who boldly steers their company toward data-driven profits, innovation, and success. Equip yourself with a playbook to transform your organization into a responsible data steward that stakeholders can trust. Don't leave your data strategy to chance - read this book and lead.

Introduction
Chapter 1
Data Is Core to Your Mission
Chapter 2
A Post-Data World in Detail
Chapter 3
Geopolitical Issues Surrounding Data
Chapter 4
C-Suite and Board Data Privacy and Security Liability
Chapter 5
Why Data Leadership Is Important Now
Chapter 6
Board-Level Cyber, Privacy, and Data Risk Governance
Chapter 7
Four Ways That Data Strategy Can Enhance Your Revenue by Billions
Chapter 8
Ask These Questions to Develop a Digital Strategy and Value Your Data
Chapter 9
Artificial Intelligence: The Future Is Now
Chapter 10
Take Charge and Lead: Seven Keys to Implementing Data Strategy in Your Company
Chapter 11
Leading with a Legally Compliant Data Transformation Program
Chapter 12
Conclusion
Acknowledgments
About the Author
Dominique Shelton Leipzig
Endnotes