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Description
Trust.: Responsible Ai, Innovation, Privacy and Data LeadershipgetAbstract'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
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.
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