Trust.: Responsible AI, Innovation, Privacy and Data Leadership
Original price was: $32.99.$16.90Current price is: $16.90.
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.
ASIN : B0CN2BBGPF
Publisher : Forbes Books
Publication date : December 26, 2023
Language : English
Print length : 399 pages
ISBN-13 : 979-8887501734
Item Weight : 1.6 pounds
Dimensions : 6.25 x 1.5 x 9 inches
Best Sellers Rank: #698,682 in Books (See Top 100 in Books) #262 in Artificial Intelligence Expert Systems #1,304 in Artificial Intelligence & Semantics #4,961 in Leadership & Motivation
Customer Reviews: 4.6 4.6 out of 5 stars 83 ratings var dpAcrHasRegisteredArcLinkClickAction; P.when(‘A’, ‘ready’).execute(function(A) { if (dpAcrHasRegisteredArcLinkClickAction !== true) { dpAcrHasRegisteredArcLinkClickAction = true; A.declarative( ‘acrLink-click-metrics’, ‘click’, { “allowLinkDefault”: true }, function (event) { if (window.ue) { ue.count(“acrLinkClickCount”, (ue.count(“acrLinkClickCount”) || 0) + 1); } } ); } }); P.when(‘A’, ‘cf’).execute(function(A) { A.declarative(‘acrStarsLink-click-metrics’, ‘click’, { “allowLinkDefault” : true }, function(event){ if(window.ue) { ue.count(“acrStarsLinkWithPopoverClickCount”, (ue.count(“acrStarsLinkWithPopoverClickCount”) || 0) + 1); } }); });
Brenda James –
Navigating the World of AI and Innovation Ethically
This book is a must-read for business leaders and companies who want to navigate the complexities of using data and technology ethically while also not taking advantage of and maintaining trust with consumers. The book offers a clear guide to differentiate brands, build trust with customers, and ensure that emerging technologies like AI are used ethically and responsibly. With its focus on data strategy, privacy, and digital innovation, this book provides actionable insights to transform organizations into ethical data leaders. Leipzig’s practical approach and extensive experience advising Fortune 100 companies make this book stand out, which I really enjoyed. It provides clear solutions to common data dilemmas and offers a framework for ethical data leadership. I especially appreciate the emphasis on building an ethical data culture focused on trust and transparency, as it’s so important and could lead to even greater improvements and heights. It’s definitely a valuable resource for executives seeking to leverage data as an asset while maintaining consumer trust!
Piaras –
Transformative insights for ethical data leadership.
“Trust.: Responsible AI, Innovation, Privacy and Data Leadership” by Dominique Shelton Leipzig stands as an indispensable compass for corporate leaders navigating the intricate landscape of data management, privacy concerns, and the ethical implementation of AI. Drawing on her extensive experience advising Fortune 100 companies, Leipzig furnishes executives and board members with a dynamic playbook, empowering them to orchestrate a metamorphosis, steering their organizations toward becoming ethical data leaders, thereby fostering innovation and growth.Leipzig’s insights are deeply entrenched in a strategic paradigm, orchestrating a harmonious alignment of data practices with long-term organizational goals. Her emphasis on nurturing an ethical data culture founded on trust is a cornerstone of the book. Beyond addressing the nuanced aspects of data strategy, the book proffers lucid solutions to common predicaments, providing organizations with the tools to extract maximum value from their data assets while adeptly sidestepping potential legal pitfalls.The author underscores the pivotal role of comprehending customers through incisive inquiries, advocating for the integration of legal AI to streamline operations, and seizing opportunities for data monetization. Leipzig navigates readers through the labyrinth of an evolving regulatory landscape, furnishing sagacious counsel on ensuring legal compliance and, in the broader spectrum, propelling revenue generation through the judicious implementation of responsible AI.”Trust.” transcends the conventional realms of a guide; it manifests as a potent playbook tailored for CEOs and leaders aspiring to navigate their companies toward data-driven profitability, innovation, and enduring success. Leipzig’s expertise radiates through the narrative, endowing readers with indispensable strategies and frameworks requisite for evolving into responsible data stewards, trusted implicitly by stakeholders. In an era where data reigns supreme, this book emerges as essential reading, a beacon guiding anyone seeking to lead with unwavering confidence and sagacity within the expansive realm of data leadership.
GM Reads –
Navigating the Digital Frontier: Trust in AI and Data Leadership
Trust: Responsible AI, Innovation, Privacy and Data Leadership” stands as a valuable guide in the intricate landscape of data management. Dominique adeptly navigates the complex realms of data privacy, AI, and innovation, offering clear strategies and insights for readers at various levels of expertise.The book serves as a playbook, providing a comprehensive understanding of the power of data and its impact on the ever-evolving world of privacy. Dominique’s expertise shines through, making the book an indispensable resource for individuals seeking to navigate the challenges and opportunities in the dynamic field of AI and data leadership.As a guide for both professionals and non-tech readers, “Trust” ensures a well-rounded understanding of responsible AI governance and decision-making, making it a must-read in our digital age.
Kenika Peach –
Very Helpful.
Trust: Responsible AI, Innovation, Privacy, and Data Leadership is a great book for business owners, corporate leaders, or anyone in any kind of leadership position that works with AI and data. Dominique Shelton Leipzig does a great job trying to teach people how they can help their business or corporations by using AI and data in ethical ways while trying to help them generate revenue overtime as well. Besides the data protection aspect Leipzig is telling readers, she also covers other areas of data like how to use data and AI responsibly, how to build a place that uses both in legal ways, and how to make sure using data and AI align with the company goals as well! and AI Even if you are already someone who knows how to use AI and data for your business or corporation in legal ways, this book can still teach you something about data and AI that you may have never thought of especially when it comes to keeping you out of legal trouble as well! Great book all around that is meant for making people better leaders or employees when it comes to working with AI and data!
Carly –
As the realms of AI and innovation evolve daily, Dominique’s Trust emerges as a timely beacon in my quest for understanding. In today’s dynamic developments, her insights resonate as a compass, guiding me through the intricacies of responsible data leadership. This book not only addresses the challenges but also propels my awareness of the pivotal role ethics plays in this ever-changing landscape. A must-read for anyone navigating the cutting edge of AI and innovation in today’s rapidly evolving world.
IO –
One of the foremost legal experts on data, privacy and responsible AI distils the vast amounts of information out there to provide companies and their boards with practical information to manage the opportunities and risks of operating in a post-Chat GPT world.