AI Data Privacy and Protection

The Complete Guide to Ethical AI, Data Privacy, and Security

By: Justin Ryan, Mario Lazo

Narrated by: Virtual Voice

Empowers business leaders and IT professionals with a deep understanding of the capabilities, challenges, and capacity of AI-driven data solutions.

"Privacy, Ethics, Security, Intellectual Property, Business, and Humanity may have seemed like disjointed ideas, disciplines, or silos. With the advent of AI and ML, these concepts must join and be operationalized to harness great promise and prevent terrible harm. Justin and Mario's book provides guidance and starting points for exploring and building. The time is now, and the tool is in your hands."
- Michelle Finneran Dennedy, CEO, Privacy Code (Prior CPO for Cisco Systems)

This book explores the rapidly evolving intersection of artificial intelligence (AI) and data management. By highlighting best practices, case studies, and future trends, it provides a roadmap for organizations striving to harness AI’s power in managing and leveraging their data for competitive advantage. This roadmap encompasses the monitoring, detection, and response required in areas of AI security, risk management, ethics, privacy, ethics, and regulations.

At the confluence of artificial intelligence and data management lies a transformative potential that promises to redefine the future of business, governance, and innovation. This book delves deep into this nexus, unraveling its complexities and illuminating its vast possibilities. Through expert insights, real-world examples, and forward-thinking analyses, we embark on a journey to explore the transformative power of AI in data management, the ethical considerations it brings forth, and the strategic imperatives for businesses in the AI era. It’s not just about understanding technology—it’s about envisioning a future where data, powered by AI, becomes the cornerstone of decision-making, strategy, and value creation, from the practitioner to the Board of Directors.

"Must-have guide for any organization as AI becomes part of the ‘business as usual’ landscape."
- Bryan Bain, COL (ret), Military Intelligence, & Bank Information Security Analyst

We wrote this book for a diverse audience, encompassing business leaders aiming to integrate AI into their strategic vision, IT professionals striving to stay ahead in the dynamic realm of data management, data scientists eager to leverage AI’s transformative capabilities, and students venturing into the world of AI and data. It is equally relevant for policymakers, consultants, and educators interested in the broader implications of AI-driven data solutions. By focusing on a balance of conceptual knowledge, practical insights, and future trends, this book ensures that readers from various backgrounds and expertise levels find content that resonates with their interests and professional needs. Whether you’re a seasoned executive, an emerging tech enthusiast, or someone curious about the AI-driven future, this book offers a comprehensive lens through which to view and engage with the evolving landscape of AI and data management.

Poor AI-driven reading of tables and figures

Material seems good, but it doesn’t work as an audiobook. Tables are read in a way that they are undecipherable. I’ve read other textbooks that handle audio-presented tables in a useful way, but I think the authors are just relying exclusively on machine-reading and failed to edit for quality. Also, a lot of places where words were mispronounced due to incorrect interpretation. Of context (think reZOOM vs Rezumay.)

Some good points but the virtual voice and it's way of reading detracts from these unfortunately.

Virtual voice cannot properly pronounce words, text in tables are read by column making it difficult to follow and irritating too listen to. Lots of skipping to text sections that read better.