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Trust: Responsible AI, Innovation, Privacy and Data Leadership
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.
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.
428 pages, Kindle Edition
Published December 26, 2023
49 people are currently reading
1154 people want to read
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March 21, 2024
It is not easy to trust what we see today. From Artificial Intelligence to Deep Fake technologies, it is becoming easier to manipulate data for illegitimate ends. With innovation comes the tendency for cheating and criminal activities. Data security is critical to preserve the integrity of businesses and maintain positive public trust. All it takes is a data leak, hacking, systems malfunction, or an infiltration of ransomware, and the corporation's activities easily come to a standstill. According to Dominique Shelton Leipzig, the problem with modern corporate boardrooms is that data management is typically delegated to backroom staff, like data scientists or IT professionals. Some don't know the right questions to ask about their data in the first place. This calls for a more proactive approach when dealing with data and information in the company. Data stewardship cannot be left to consultants, or engineers in the data center, or outsourced to cheaper IT professionals outside. They need to be managed responsibly. Senior management needs to be held accountable. Data breaches and data security lapses cannot be blamed on data center staff. CEOs must take an active interest in the integrity and use of data in their organizations. With more businesses and information being collected and stored both inside and outside the organizations, there needs to be a heightened awareness and responsibility about its collection, management, protection, and usage. Companies of all sizes need a proper data strategy. The thesis in this book is that to re-establish trust in organizations, it is high time for senior management to take leadership of their corporate data as a critical asset. In Leipzig's words, one must "lead with trust." That means three things:
1) Trust cannot be delegated
2) Data leadership cannot be delegated to backroom staff
3) Corporations must do more to build (or rebuild) trust.
Data ethics, privacy, cybersecurity, artificial intelligence, etc are increasingly becoming the norm in mainstream society. Without them, society cannot function as the many systems in the world, including the ubiquitous cell phones rely on them. In other words, data permeates society. With that comes the issue of trust. How reliable are they? How accurately do they describe you or your organization? What can we learn from it? Leipzig uses the phrase "post-data" to show us why we need to update our conventional perception of data. Deep learning, generated data from artificial intelligence, business intelligence software, and all kinds of data are now central to how we do business and our way of life. Covering a wide spectrum of society from public to privacy programs, we learn about the tricky balance between private privilege and public trust. The risks of not having a proper data strategy are increasing. One can be charged with negligence as well. Leipzig lists some of the questions that CEOs, privacy officers, security analysts, of the world need to ask. Whether they have the answer is not as important as knowing what questions to ask. Not only will good data strategies protect and preserve a company's reputation, they help in growing the business as well. Many social media companies are already reaping in the benefits of using the data they have.
Three Thoughts
=================
First, this book links data strategies with the issue of Trust. Why? Companies that have lost customer data due to leaks, hacks, or negligence have come under fire recently. Many have also shelled out millions of dollars to litigation, especially class-action lawsuits. More seriously, even if it is possible, any trust lost can take years to regain. If a company does not take a customer's data seriously enough, why should any customer trust it? Trust nowadays cannot be presumed. If there is one thing that would heal relationships today, it would be the restoration of trust. It is high time to fight back against the falsehood that sinister crooks are propagating. From fake news to abuses of artificial intelligence, more needs to be done to regain the trust lost and to build a culture of goodwill so that we can benefit from data strategies. The author has highlighted an increasingly critical area of our society, something that should not be left to technical experts or IT professionals. Data security is no longer simply an antivirus or some strong firewall applications. It has to be driven from the very top through all layers of any organization.
Second, Leipzig reminds us of the rising importance of data usage specifically and generally. Specifically, she cautions senior leadership against taking a laissez-faire attitude when it comes to data collection, management, security, and all forms of usage. No longer can senior management simply sit back and leave the data strategies to the technical professionals or even IT consultants. They need to take charge at all levels of management. Failure to do so can be a form of negligence. Apart from corporate situations, this book also speaks to the general public. Individuals should recognize the growing importance of data management and usage. Whether it is about data ethics, security, or information gathering, we all need basic education about the need and usage of any kind of data. Just because we do not have a "data analyst" in our job titles does not mean we are free from adopting a social or ethical data strategy. In that sense, this book is a necessary resource for informing us in our understanding of data and human relationships. People are constantly collecting and sharing information on the Internet. That only increases the need for us to take the data we share seriously.
Finally, we are all affected by the way companies use our data. Just like all companies are data companies, all persons are data collectors and sharers. We are what we data. The steps that Leipzig gives for corporate environments can be easily applied to individual situations as well. It is a discipline that can provide crossover benefits. One does not need to be in a corporate boardroom in order to take data seriously. The more informed and educated we are about the importance of a data strategy, the better we are at holding companies and organizations accountable for the way they manage what they have. Global companies like Google and FaceBook have our data on their servers. We should be actively concerned with what and how they are using them. If there is any one reason to get this book, it would be to raise our level of data awareness and the need for education on data strategies.
Dominique Shelton Leipzig is a Mayer Brown Privacy & Cybersecurity Partner. Leading Global Data Innovation, she counsels CEOs and Board Members on smart digital governance. She has trained 50,000+ professionals in AI, privacy and cyber. For decades, Dominique has studied legal trends to accurately forecast digital risks and opportunities. Companies, with a collective market cap of 3 trillion USD have benefited from her insights. Trust is her fourth book. Her articles include a Financial Times op-ed concerning cross-border transfers, that the White House adopted. She founded the Digital Trust Summit for leaders to reimagine effective data oversight. Named a Diligent Modern Governance 100 leader and a LA Times “Legal Visionary,” she has won 24 awards. A board member of the AI Governance Center and the International Association of Privacy Professionals, she is certified in privacy and board governance. Dominique is the co-founder of NxtWork, dedicated to diverse leadership.
Rating: 4.25 stars out of 5.
conrade
This book has been provided courtesy of Forbes Books via NetGalley without requiring a positive review. All opinions offered above are mine unless otherwise stated or implied.
1) Trust cannot be delegated
2) Data leadership cannot be delegated to backroom staff
3) Corporations must do more to build (or rebuild) trust.
Data ethics, privacy, cybersecurity, artificial intelligence, etc are increasingly becoming the norm in mainstream society. Without them, society cannot function as the many systems in the world, including the ubiquitous cell phones rely on them. In other words, data permeates society. With that comes the issue of trust. How reliable are they? How accurately do they describe you or your organization? What can we learn from it? Leipzig uses the phrase "post-data" to show us why we need to update our conventional perception of data. Deep learning, generated data from artificial intelligence, business intelligence software, and all kinds of data are now central to how we do business and our way of life. Covering a wide spectrum of society from public to privacy programs, we learn about the tricky balance between private privilege and public trust. The risks of not having a proper data strategy are increasing. One can be charged with negligence as well. Leipzig lists some of the questions that CEOs, privacy officers, security analysts, of the world need to ask. Whether they have the answer is not as important as knowing what questions to ask. Not only will good data strategies protect and preserve a company's reputation, they help in growing the business as well. Many social media companies are already reaping in the benefits of using the data they have.
Three Thoughts
=================
First, this book links data strategies with the issue of Trust. Why? Companies that have lost customer data due to leaks, hacks, or negligence have come under fire recently. Many have also shelled out millions of dollars to litigation, especially class-action lawsuits. More seriously, even if it is possible, any trust lost can take years to regain. If a company does not take a customer's data seriously enough, why should any customer trust it? Trust nowadays cannot be presumed. If there is one thing that would heal relationships today, it would be the restoration of trust. It is high time to fight back against the falsehood that sinister crooks are propagating. From fake news to abuses of artificial intelligence, more needs to be done to regain the trust lost and to build a culture of goodwill so that we can benefit from data strategies. The author has highlighted an increasingly critical area of our society, something that should not be left to technical experts or IT professionals. Data security is no longer simply an antivirus or some strong firewall applications. It has to be driven from the very top through all layers of any organization.
Second, Leipzig reminds us of the rising importance of data usage specifically and generally. Specifically, she cautions senior leadership against taking a laissez-faire attitude when it comes to data collection, management, security, and all forms of usage. No longer can senior management simply sit back and leave the data strategies to the technical professionals or even IT consultants. They need to take charge at all levels of management. Failure to do so can be a form of negligence. Apart from corporate situations, this book also speaks to the general public. Individuals should recognize the growing importance of data management and usage. Whether it is about data ethics, security, or information gathering, we all need basic education about the need and usage of any kind of data. Just because we do not have a "data analyst" in our job titles does not mean we are free from adopting a social or ethical data strategy. In that sense, this book is a necessary resource for informing us in our understanding of data and human relationships. People are constantly collecting and sharing information on the Internet. That only increases the need for us to take the data we share seriously.
Finally, we are all affected by the way companies use our data. Just like all companies are data companies, all persons are data collectors and sharers. We are what we data. The steps that Leipzig gives for corporate environments can be easily applied to individual situations as well. It is a discipline that can provide crossover benefits. One does not need to be in a corporate boardroom in order to take data seriously. The more informed and educated we are about the importance of a data strategy, the better we are at holding companies and organizations accountable for the way they manage what they have. Global companies like Google and FaceBook have our data on their servers. We should be actively concerned with what and how they are using them. If there is any one reason to get this book, it would be to raise our level of data awareness and the need for education on data strategies.
Dominique Shelton Leipzig is a Mayer Brown Privacy & Cybersecurity Partner. Leading Global Data Innovation, she counsels CEOs and Board Members on smart digital governance. She has trained 50,000+ professionals in AI, privacy and cyber. For decades, Dominique has studied legal trends to accurately forecast digital risks and opportunities. Companies, with a collective market cap of 3 trillion USD have benefited from her insights. Trust is her fourth book. Her articles include a Financial Times op-ed concerning cross-border transfers, that the White House adopted. She founded the Digital Trust Summit for leaders to reimagine effective data oversight. Named a Diligent Modern Governance 100 leader and a LA Times “Legal Visionary,” she has won 24 awards. A board member of the AI Governance Center and the International Association of Privacy Professionals, she is certified in privacy and board governance. Dominique is the co-founder of NxtWork, dedicated to diverse leadership.
Rating: 4.25 stars out of 5.
conrade
This book has been provided courtesy of Forbes Books via NetGalley without requiring a positive review. All opinions offered above are mine unless otherwise stated or implied.
January 23, 2024
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.
"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.
January 27, 2024
A book yo understand your customers and offer them a better service!
“Trust.: Responsible AI, Innovation, Privacy and Data Leadership” by Dominique Shelton Leipzig is a book to better understand your customers and offer them a better service.
Dominique Shelton Leipzig bases her advice on decades of experience advising large companies on data strategies, privacy, artificial intelligence and digital innovation. She reveals how to align data practices with long-term goals, build an ethical culture based on trust, avoid costly legal issues, and increase revenue through the responsible use of artificial intelligence.
You'll discover the important questions you need to ask yourself to truly understand your customers, simplify operations with artificial intelligence, leverage data opportunities to make money.
This book provides you with clear answers to common data-related problems, giving you strategies and an approach to make the most of information and retain your customers but also is an easy reading to understand the content. I congratulate the author for this great book.
“Trust.: Responsible AI, Innovation, Privacy and Data Leadership” by Dominique Shelton Leipzig is a book to better understand your customers and offer them a better service.
Dominique Shelton Leipzig bases her advice on decades of experience advising large companies on data strategies, privacy, artificial intelligence and digital innovation. She reveals how to align data practices with long-term goals, build an ethical culture based on trust, avoid costly legal issues, and increase revenue through the responsible use of artificial intelligence.
You'll discover the important questions you need to ask yourself to truly understand your customers, simplify operations with artificial intelligence, leverage data opportunities to make money.
This book provides you with clear answers to common data-related problems, giving you strategies and an approach to make the most of information and retain your customers but also is an easy reading to understand the content. I congratulate the author for this great book.
December 28, 2023
"Trust" by Dominique Shelton Leipzig is a refreshing and insightful exploration of a topic that affects us all in our digitally interconnected world. Leipzig, with her legal background, skillfully navigates the complexities of trust in the digital age, shedding light on the challenges and opportunities it presents.
The book is a compelling blend of legal analysis, real-world examples, and practical advice. Leipzig manages to demystify the often intimidating legal jargon, making it accessible to readers from all walks of life. What sets "Trust" apart is its relevancy – it's not just for legal enthusiasts but for anyone concerned about their online presence and data security.
Leipzig’s writing style is engaging, and she injects the text with a dose of humor, making it an enjoyable read despite the weighty subject matter. Whether you're a tech enthusiast, a privacy advocate, or just curious about the evolving landscape of trust, this book is a must-read. "Trust" is not just a legal guide; it's a roadmap for navigating the digital realm with confidence and understanding.
The book is a compelling blend of legal analysis, real-world examples, and practical advice. Leipzig manages to demystify the often intimidating legal jargon, making it accessible to readers from all walks of life. What sets "Trust" apart is its relevancy – it's not just for legal enthusiasts but for anyone concerned about their online presence and data security.
Leipzig’s writing style is engaging, and she injects the text with a dose of humor, making it an enjoyable read despite the weighty subject matter. Whether you're a tech enthusiast, a privacy advocate, or just curious about the evolving landscape of trust, this book is a must-read. "Trust" is not just a legal guide; it's a roadmap for navigating the digital realm with confidence and understanding.
February 5, 2024
The bottom line is that data is important to every business and every company needs to understand how to manage and protect it. This book is a resource that helps answer the questions you must ask yourselves when assessing your data management and protection needs. Every business has different needs, and this book gives real-life examples to help you take control of your own situation.
Data is becoming more and more important, and the risks are only growing as there are more cyber attacks. Laws are constantly changing, and there are different rules for different states and countries. While those in charge of a business are the ones responsible, every employee has some responsibility for knowing their part. Not everyone can be a data privacy specialist, but everyone should understand their responsibility.
When your business doesn't have a plan, your customers can't trust you. This book gives you the tools you need so you can earn that trust.
Thanks to NetGalley for letting me read this
Data is becoming more and more important, and the risks are only growing as there are more cyber attacks. Laws are constantly changing, and there are different rules for different states and countries. While those in charge of a business are the ones responsible, every employee has some responsibility for knowing their part. Not everyone can be a data privacy specialist, but everyone should understand their responsibility.
When your business doesn't have a plan, your customers can't trust you. This book gives you the tools you need so you can earn that trust.
Thanks to NetGalley for letting me read this
January 27, 2024
invaluable guide for executives and board members
“Trust” by Leipzig is just a great book if you are looking to become better at using data and collecting it. When talking about big corporations and organizations this is a key point.
This is an invaluable guide for executives and board members navigating the complex landscape of data in today's business environment. It draws its knowledge from experience. It will show you how to transform organizations into ethical data leaders. The book not only addresses the challenge of leveraging data as an asset but also emphasizes the importance of maintaining consumer trust through ethical practices. One of the things I appreciated the most is that it explains how to avoid legal pitfalls, ensuring compliance in a rapidly evolving regulatory environment. It also offers practical solutions to common dilemmas. Definitely a good book to read.
“Trust” by Leipzig is just a great book if you are looking to become better at using data and collecting it. When talking about big corporations and organizations this is a key point.
This is an invaluable guide for executives and board members navigating the complex landscape of data in today's business environment. It draws its knowledge from experience. It will show you how to transform organizations into ethical data leaders. The book not only addresses the challenge of leveraging data as an asset but also emphasizes the importance of maintaining consumer trust through ethical practices. One of the things I appreciated the most is that it explains how to avoid legal pitfalls, ensuring compliance in a rapidly evolving regulatory environment. It also offers practical solutions to common dilemmas. Definitely a good book to read.
January 23, 2024
Trust by Dominique Shelton Leipzig is a MUST read for both business leaders and consumers. This book has it all! From a magnificent approach to first-class information, provided by a formidable professional. There are many positive points I can mention to describe this book. To start with the data, tips and strategies presented by the author are first-rate. Dominique pours all her knowledge on the subject, and more into the pages of this book. She has decades of advising companies on data strategy, privacy, AI, and digital innovation. Not only the content of the book itself is wonderful, but also the way in which she transmits that content. Her red-light, yellow-light, green-light approach to streamlining AI governance and decision-making is both excellent and easy to understand. 1000% recommendable.
January 26, 2024
Trust by Dominique Shelton Leipzig is a crucial guide for leaders in the digital age, focusing on the ethical use of data and AI in business. Leipzig, with her extensive experience in advising Fortune 100 companies, provides a comprehensive playbook for executives and board members to become ethical data leaders. I think the best part of the book is that it emphasizes the importance of aligning data practices with strategic goals, having an ethical data culture, and maintaining consumer trust. I loved to read all the practical solutions for legal compliance, monetizing data opportunities, and implementing responsible AI to drive revenue. I'm so happy to find this kind of reading, it helped me to understand my customers better, streamline operations, and navigate the complex regulatory environment.
January 26, 2024
Artificial intelligence (AI) is the future. And the future is now.
"Trust: Responsible AI, Innovation, Privacy and Data Leadership" by Dominique Shelton Leipzig guides company leaders on transforming their organizations into companies that practice ethical and responsible data leaders that will generate income responsibly. The author wrote straight-to-the-point information about developing digital strategies and value for data.
It is good that the chapter that discusses the use of AI both discusses the value and the risk of using AI in the business. The author ensures we see the pros and cons of using AI in the industry. Her direct-to-the-point approach makes the book easy to read even though, at times, she uses a lot of technical jargon; good thing this book is intended for upper management.
"Trust: Responsible AI, Innovation, Privacy and Data Leadership" by Dominique Shelton Leipzig guides company leaders on transforming their organizations into companies that practice ethical and responsible data leaders that will generate income responsibly. The author wrote straight-to-the-point information about developing digital strategies and value for data.
It is good that the chapter that discusses the use of AI both discusses the value and the risk of using AI in the business. The author ensures we see the pros and cons of using AI in the industry. Her direct-to-the-point approach makes the book easy to read even though, at times, she uses a lot of technical jargon; good thing this book is intended for upper management.
January 27, 2024
In a world immersed in the maelstrom of technological change and the omnipresence of artificial intelligence, Dominique Shelton's “Trust” is an essential guide for those navigating the tumultuous waters of digital transformation. The author provides executives and board members with a practical manual that goes beyond rhetoric, immersing them in a tangible journey toward building ethical, innovation-ready organizations.
I believe this is a vital tool for those seeking to lead their organizations into the digital future in an ethical and sustainable manner. Trust also provides concrete strategies and case studies that illustrate how to overcome common obstacles on the path to digital excellence. I highly recommend this book as an incentive to become ethical data leaders, prepared for innovation and growth in a technology-driven world.
I believe this is a vital tool for those seeking to lead their organizations into the digital future in an ethical and sustainable manner. Trust also provides concrete strategies and case studies that illustrate how to overcome common obstacles on the path to digital excellence. I highly recommend this book as an incentive to become ethical data leaders, prepared for innovation and growth in a technology-driven world.
January 13, 2024
Trust covers data strategy, privacy, AI, digital innovation, and other topics of concern from a great perspective. It emphasizes aligning data practices with long-term goals, creating an ethical data culture, and navigating the legal landscape. It shares a legal analysis, excellent real-world examples, and practical advice accessible to a broad audience. It wasn't solely for legal experts. I found Dominique Shelton Leipzig's writing to be engaging and informative. She made complex topics understandable and relevant for anyone concerned about online presence and data security. I recommend this book to anyone interested in understanding AI. It was quite interesting. The cover was a great representation.
January 24, 2024
Solid
This book is a must read for business leaders and managers. It goes through all the ways that data and information are vitally important for your company to protect and to understand. The author writes in a no nonsense, serious tone, full of facts and examples and lessons about the digital and technological side of business and what can and has happened when things go wrong. This is a great book for anyone in management wanting to understand more about how artificial intelligence, data, security, and more, can impact your business. In today's world, being up to date on digital marketing, the Internet of things, biometrics, cyber attacks, and so much more, is simply a must. Excellent book, well written, highly recommend.
This book is a must read for business leaders and managers. It goes through all the ways that data and information are vitally important for your company to protect and to understand. The author writes in a no nonsense, serious tone, full of facts and examples and lessons about the digital and technological side of business and what can and has happened when things go wrong. This is a great book for anyone in management wanting to understand more about how artificial intelligence, data, security, and more, can impact your business. In today's world, being up to date on digital marketing, the Internet of things, biometrics, cyber attacks, and so much more, is simply a must. Excellent book, well written, highly recommend.
January 24, 2024
"Trust: Responsible AI, Innovation, Privacy, and Data Leadership" is a book written by Dominique Shelton Leipzig who has studied legal trends to accurately forecast digital risks and opportunities will teach the readers how to align your data practices with long-term strategic goals or drive revenue through responsible AI implementation.
Let's face it, our world nowadays takes day by day huge steps when it comes to technology, and in the last couple of years, artificial intelligence, and for the older generations it can be a bit tricky to fully comprehend it all, but Dominique's book is easy to follow up; it's written so anyone can tag along. It has a lot of helpful data and it can truly clear your doubts. Highly recommended.
Let's face it, our world nowadays takes day by day huge steps when it comes to technology, and in the last couple of years, artificial intelligence, and for the older generations it can be a bit tricky to fully comprehend it all, but Dominique's book is easy to follow up; it's written so anyone can tag along. It has a lot of helpful data and it can truly clear your doubts. Highly recommended.
January 26, 2024
Helpful book to apply.
One of the things that worries us as a consumer or clients is the data that many companies have about us. For this reason, author Dominique Shelton Leipzig writes this book to help companies better treat customer data and thereby generate trust. ''Trust: Responsible AI, Innovation, Privacy and Data Leadership'' is a book that focuses on the ethics of having better management of customer data in the company. With extensive experience on this topic, the author offers practical advice to put into practice. This book is very useful and interesting and will surely help your company with the objectives you have. This book is easy to understand and you will find it practical.
One of the things that worries us as a consumer or clients is the data that many companies have about us. For this reason, author Dominique Shelton Leipzig writes this book to help companies better treat customer data and thereby generate trust. ''Trust: Responsible AI, Innovation, Privacy and Data Leadership'' is a book that focuses on the ethics of having better management of customer data in the company. With extensive experience on this topic, the author offers practical advice to put into practice. This book is very useful and interesting and will surely help your company with the objectives you have. This book is easy to understand and you will find it practical.
March 10, 2024
Data is big business these days. There are plenty of big data companies that harvest and sell it, but even companies that don’t deal in data as their sole means of profit collect it. It’s a way for them to learn more about their customers and potential customers.
However, these companies must harvest and use that data ethically, and that’s what this book is about. It details the various responsibilities business entities have when it comes to collecting, storing, and utilizing data in a time when information gathering is becoming easier and a more essential part of any business model.
Any company owner or operator who wants to be more ethical in their handling of data should read this book. Such individuals must safeguard customer data, and it would behoove them to remember that.
However, these companies must harvest and use that data ethically, and that’s what this book is about. It details the various responsibilities business entities have when it comes to collecting, storing, and utilizing data in a time when information gathering is becoming easier and a more essential part of any business model.
Any company owner or operator who wants to be more ethical in their handling of data should read this book. Such individuals must safeguard customer data, and it would behoove them to remember that.
January 20, 2024
This business book by Dominique Shelton Leipzig is essential reading for anyone who deals with sensitive customer business data. Leipzig highlights the importance not only of using customer data in business, but the vital importance of treating the data in an ethical manner. Not only that, Leipzig gives you the tools in order to truly get to know your customer base, ask them the right questions for your business, use AI ethically, and make sure you are doing all this in a legal and safe manner. The importance of customer loyalty is dependent on businesses using their data in a responsible way, and this book will equip you with everything you need to make that a reality.
January 26, 2024
Very important information!
We live in a world of hyper communication, massive social media, and in this context maintaining privacy is not an easy task. Trust: Responsible AI, Innovation, Privacy and Data Leadership by Dominique Shelton Leipzig is a helpful guide for companies that try to help them to be a serious and responsible company that knows how to handle data.
I think it is one of the first books that focuses on the importance of trust, that the development of AI and new technology must always be responsible. I liked it because it aligns its recommendations with the long-term objectives and growth of the company. It is a very valuable book for CEO’s and owners!
We live in a world of hyper communication, massive social media, and in this context maintaining privacy is not an easy task. Trust: Responsible AI, Innovation, Privacy and Data Leadership by Dominique Shelton Leipzig is a helpful guide for companies that try to help them to be a serious and responsible company that knows how to handle data.
I think it is one of the first books that focuses on the importance of trust, that the development of AI and new technology must always be responsible. I liked it because it aligns its recommendations with the long-term objectives and growth of the company. It is a very valuable book for CEO’s and owners!
February 6, 2024
I believe "Trust" by Dominique Shelton Leipzig is a crucial resource for today's business leaders. What I think sets this book apart is the author’s vast experience advising Fortune 100 companies, which lends credibility to her insights and recommendations. She navigates the intricacies of aligning data practices with strategic goals, fostering an ethical data culture, and mitigating legal risks. I particularly appreciate the emphasis on understanding customers, leveraging legal AI, and ensuring compliance in a dynamic regulatory landscape. "Trust." equips leaders with actionable strategies to harness the full potential of data while earning and maintaining customer trust.
January 21, 2024
This book is a gem for those seeking to understand the complicated world of artificial intelligence and data privacy. In my opinion, the author manages to demystify complex topics, making them accessible to everyone. I loved how it addresses responsibility in AI and highlights the importance of ethics in innovation. Its practical approach and real-world examples make the book easy to follow. Personally, I think it's essential reading for anyone interested in technology and ethics. I would definitely recommend it to all my techie friends!
January 23, 2024
Responsible AI
Using data sets and AI is very commonplace today across most if not every industry. The problem with this is that most CEOs and managers do not fully understand the data and how to most effectively use it. This book and this author. From questions to ask customers, internal surveys, and how to recognize market trends that are emerging, this book will help you become a much more confident and effective manager that is a responsible data steward while still being profit driven. Fantastic and informative and well researched.
Using data sets and AI is very commonplace today across most if not every industry. The problem with this is that most CEOs and managers do not fully understand the data and how to most effectively use it. This book and this author. From questions to ask customers, internal surveys, and how to recognize market trends that are emerging, this book will help you become a much more confident and effective manager that is a responsible data steward while still being profit driven. Fantastic and informative and well researched.
January 26, 2024
Trust is a book that allows business leaders to understand how to use data in a way that is ethical and that will build trust with the customers. The author shares some tips to create that trust using AI in a responsible way. One of the things I found while reading the book is that it is meant not only for those with previous knowledge about technology but also for those outsiders. It also helps to set long term goals taking in consideration truth to avoid any legal trouble.
Overall, it is a good book with a lot of real examples making it a very informative read.
Overall, it is a good book with a lot of real examples making it a very informative read.
February 6, 2024
An essential guide for executives
The book provides a valuable playbook, offering actionable strategies to transform organizations into ethical data leaders. Leipzig adeptly addresses the challenges of aligning data practices with long-term goals, fostering an ethical data culture, and implementing responsible AI. The emphasis on customer understanding, legal compliance, and revenue generation demonstrates a clear and comprehensive framework, making this book an invaluable resource for those steering their companies towards data-driven success.
The book provides a valuable playbook, offering actionable strategies to transform organizations into ethical data leaders. Leipzig adeptly addresses the challenges of aligning data practices with long-term goals, fostering an ethical data culture, and implementing responsible AI. The emphasis on customer understanding, legal compliance, and revenue generation demonstrates a clear and comprehensive framework, making this book an invaluable resource for those steering their companies towards data-driven success.
March 17, 2024
I recommend this book to those who want to learn about data management.
"Trust" by Dominique Shelton Leipzig offers executives and board members a practical playbook to navigate the complexities of data management ethically. Drawing from deep experience advising Fortune 100 companies, this book provides us with actionable strategies to build trust, drive innovation, and ensure legal compliance in today's data-driven landscape. I recommend this book to those who want to learn about data management.
"Trust" by Dominique Shelton Leipzig offers executives and board members a practical playbook to navigate the complexities of data management ethically. Drawing from deep experience advising Fortune 100 companies, this book provides us with actionable strategies to build trust, drive innovation, and ensure legal compliance in today's data-driven landscape. I recommend this book to those who want to learn about data management.
January 5, 2024
Thank you to #NetGalley and Forbes Books for providing me a copy of Dominique Shelton Leipzig’s, Trust. Responsible AI, Innovation, Privacy, and Data Leadership, in exchange for an honest review.
#Trust is exclusively written for the C-suite level in your business. Succinct and focused on the key points. For those who already have advanced knowledge and/or are attorneys and professionals in this space, it will serve as a quick refresh.
#Trust is exclusively written for the C-suite level in your business. Succinct and focused on the key points. For those who already have advanced knowledge and/or are attorneys and professionals in this space, it will serve as a quick refresh.
March 19, 2024
This read provides a practical and compelling guide for leaders navigating the complexities of data strategy with an ethical focus. Based on the author's rich experience advising prominent companies, the book stands out for offering practical advice that we can truly apply. The guidance on legal compliance and avoiding errors adds immense value. A must-read for leaders steering responsible growth and innovation.
March 28, 2024
Data is the company’s greatest asset
This was like attending a business conference and having all the notes written out for you. This offering was such a great book filled with much information on the safest way to leverage data and build trust with all those involved in the company. The author lays out strategies for executives and the like to utilize when try to innovate with AI technology. I recommend this guidebook to your company’s leadership team.
This was like attending a business conference and having all the notes written out for you. This offering was such a great book filled with much information on the safest way to leverage data and build trust with all those involved in the company. The author lays out strategies for executives and the like to utilize when try to innovate with AI technology. I recommend this guidebook to your company’s leadership team.
April 1, 2024
AI must read
An excellent and exciting analysis on the issues of artificial intelligence. A great read for those interested in AI and the reality of what is going on in the tech industries around AI
An excellent and exciting analysis on the issues of artificial intelligence. A great read for those interested in AI and the reality of what is going on in the tech industries around AI
July 4, 2024
I chose this book to read and write/give a report on for my Applied Data Ethics, Law, and the Social Good class. It has a targeted audience that didn't quite fit what I was looking for, but it was still informative.
March 30, 2024
big issues, but very little solutions for CEOs
Although the book is said to be written by a leader in the field, is provided very few solutions for CEOs and business owners.
Although the book is said to be written by a leader in the field, is provided very few solutions for CEOs and business owners.
April 11, 2024
As AI becomes more and more a part of every day life, this book helps break down not only the technology, but how to handle it.
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