Trust.

About the Author

Dominique Shelton Leipzig is a recognized leader in the fields of digital innovation, data privacy, and artificial intelligence strategy. With years of experience advising Fortune 100 companies, she brings a wealth of knowledge on how to leverage data responsibly to build trust and drive business success. Her insights have guided numerous organizations in navigating the complexities of digital transformation and regulatory landscapes.

Main Idea

In "Trust.: Responsible AI, Innovation, Privacy, and Data Leadership," Dominique Shelton Leipzig provides a comprehensive framework for business leaders to align their data practices with their organization's mission. The book emphasizes the importance of creating an ethical data culture built on trust, which is crucial for avoiding reputational, legal, and financial pitfalls. Leipzig shares strategies for understanding customers, monetizing data opportunities, and implementing responsible AI, all while maintaining compliance in a rapidly evolving regulatory environment.

Table of Contents

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

Introduction

Dominique Shelton Leipzig begins by addressing business leaders directly, highlighting the critical importance of trust in technology for the future. She aims to demystify the path to becoming data leaders and provides a playbook to accelerate a company's future through trust-based data practices.

"This book is designed to give you instant expertise, provide the playbook to accelerate your company’s future, and to equip you with the core concepts and vocabulary so you can communicate your data vision." - Dominique Shelton Leipzig

Chapter 1: Data Is Core to Your Mission

Leipzig underscores that digital transformation is not a future event but a current reality. Trust in a brand's data handling comes through deliberate leadership efforts. The first step involves understanding the tools for managing and building with data.

"Start with knowing your customers, what they want, and how to reach them." - Dominique Shelton Leipzig

She suggests having a system to track customer reactions and storing these data points centrally for better insights. A comprehensive data strategy is essential for smarter product development and M&A strategies, treating data as a valuable pre-tangible asset.

For instance, implementing a centralized system to gather and analyze customer feedback can streamline marketing efforts and align product development with customer needs. This strategic approach ensures that data is leveraged to its fullest potential, transforming it into a critical asset for business growth.

• Identify customer touchpoints and collect feedback.
• Centralize data storage for easy access and analysis.
• Develop marketing strategies based on data insights.
• Align product development with customer expectations.

Chapter 2: A Post-Data World in Detail

Leipzig explains the term "post-data" to describe today's society, generating over 2.5 quintillion bytes of data daily. She highlights the importance of deep learning and generative AI in extracting value from this data.

"Deep learning can reveal keen insights regarding your business at the touch of a dashboard." - Dominique Shelton Leipzig

Companies must develop strategies to synthesize, study, and understand data to grow effectively. By leveraging technologies such as cloud computing, IoT, and biometrics, businesses can gather vast amounts of data and derive actionable insights. The key is to integrate these technologies into a cohesive strategy that maximizes their potential.

For example, integrating IoT devices can provide real-time data on product usage, while cloud computing offers scalable storage solutions. Biometrics can enhance security and personalize customer experiences. By understanding and utilizing these technologies, businesses can stay ahead of the curve and drive innovation.

• Utilize cloud computing for scalable data storage.
• Implement IoT devices for real-time data collection.
• Incorporate biometrics for enhanced security.
• Integrate technologies into a cohesive strategy.

Chapter 3: Geopolitical Issues Surrounding Data

With cyber-attacks expected to cost the global economy $10 trillion by 2025, Leipzig stresses the need for national security awareness in a risk framework. She advises consulting with legal and national security experts to protect the brand and comply with global regulations.