Learn the key skills and capabilities that empower Citizens of Data Science to not only survive but thrive in an AI-dominated world.

Purchase of the print or Kindle book includes a free PDF eBook

Key Features

• Prepare for a future dominated by AI and big data
• Enhance your AI and data literacy with real-world examples
• Learn how to leverage AI and data to address current and future challenges

Book Description

AI is undoubtedly a game-changing tool with immense potential to improve human life.

This book aims to empower you as a Citizen of Data Science, covering the privacy, ethics, and theoretical concepts you’ll need to exploit to thrive amid the current and future developments in the AI landscape.

We'll explore AI's inner workings, user intent, and the critical role of the AI utility function while also briefly touching on statistics and prediction to build decision models that leverage AI and data for highly informed, more accurate, and less risky decisions.

Additionally, we'll discuss how organizations of all sizes can leverage AI and data to engineer or create value. We'll establish why economies of learning are more powerful than the economies of scale in a digital-centric world. Ethics and personal/organizational empowerment in the context of AI will also be addressed.

Lastly, we'll delve into ChatGPT and the role of Large Language Models (LLMs), preparing you for the growing importance of Generative AI. By the end of the book, you'll have a deeper understanding of AI and how best to leverage it and thrive alongside it.

What you will learn

• Get to know the fundamentals of data literacy, privacy, and analytics
• Find out what makes AI tick and the role of the AI utility function
• Make informed decisions using prominent decision-making frameworks
• Understand relevant statistics and probability concepts
• Create new sources of value by leveraging and applying AI and data
• Apply ethical parameters to AI development with real-world examples
• Find out how to get the most out of ChatGPT and its peers

Who this book is for

This book is designed to benefit everyone from students to established business leaders and professionals who want to learn how to leverage data and analytics to accelerate their AI and Data literacy.

Table of Contents

1. Why AI and Data Literacy?
2. Data and Privacy Awareness
3. Analytics Literacy
4. Understanding How AI Works
5. Making Informed Decisions
6. Prediction and Statistics
7. Value Engineering Competency
8. Ethics of AI Adoption
9. Cultural Empowerment
10. ChatGPT Changes Everything

Review

“...comes at a critical time when people now realize that data and AI are part of everyone's job. ”

Cindi Howson, Chief Data Strategy Officer at AI-analytics ThoughtSpot, Host of the award-winning The Data Chief podcast

“...provides a foundational understanding of AI to empower policymakers and experts in fields outside of technology to have productive dialogues about the impact of AI on society and its ethical use. ”

Dan Everett, Owner, Insightful Research LLC

“...a masterful guide for those looking to build their knowledge and literacy at the intersection of data science and AI. ”

Doug Laney, author of Infonomics and Data Juice

“...empowers one to be able to critically assess AI tools, understand their context and embedded principles, and question their design and implementation.”

Prof. Mark Nasila, Chief Data and Analytics Officer - FNB Risk



About the Author

Bill Schmarzo, the Dean of Big Data, is currently the Head of Customer Data Innovation at Dell Technologies. He is also a lecturer at Iowa State University and Coe College (Cedar Rapids, IA), a University of San Francisco School of Management Executive Fellow, and an Honorary Professor at the School of Business and Economics at the National University of Ireland-Galway, where he teaches his course Big Data MBA and Thinking Like a Data Scientist. He has authored four books, written over 300 blogs for Data Science Central, appeared on podcasts, given numerous keynote presentations and university lectures, and is an active social media lightening rod on the topics of data science, AI, data economics, design thinking, and team empowerment.