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AI & Data Literacy: Empowering Citizens of Data Science 1st Edition

by Bill Schmarzo (Author)
4.6 out of 5 stars 43 ratings
on 1 when you buy 2 Shop items
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Purchase options and add-ons

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
Read more
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  1. ISBN-10
    1835083501
  2. ISBN-13
    978-1835083505
  3. Edition
    1st
  4. Publisher
    Packt Publishing
  5. Publication date
    July 26, 2023
  6. Language
    English
  7. Dimensions
    0.54 x 7.5 x 9.25 inches
  8. Print length
    238 pages
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artificial intelligence data literacy
AI disruption manipulation
citizens of data science
AI and data literacy
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Editorial Reviews

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. ”

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.

Product details

  • Publisher ‏ : ‎ Packt Publishing
  • Publication date ‏ : ‎ July 26, 2023
  • Edition ‏ : ‎ 1st
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 238 pages
  • ISBN-10 ‏ : ‎ 1835083501
  • ISBN-13 ‏ : ‎ 978-1835083505
  • Item Weight ‏ : ‎ 14.8 ounces
  • Dimensions ‏ : ‎ 0.54 x 7.5 x 9.25 inches
  • Customer Reviews:
    4.6 out of 5 stars 43 ratings

About the author

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Bill Schmarzo

Bill Schmarzo

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Bill Schmarzo

Dean of Big Data

Customer AI & Data Innovation Strategist, Dell Technologies

Honorary Professor, National University of Ireland-Galway

Executive Fellow, University of San Francisco

AI Research Fellow, Coe College

Lecturer, Iowa State University

Bill Schmarzo is a globally recognized innovator, educator, and practitioner in the fields of Big Data, Data Science, Design Thinking, and Data Monetization. He created the renowned “Big Data MBA” university curriculum and has filed 7 Data Science patents. Bill's expertise is further showcased in his 5 published books, including "The Economics of Data, Analytics and Digital Transformation” and “AI & Data Literacy: Empowering Citizens of Data Science”. His past roles as the Chief Innovation Officer at Hitachi Vantara and VP of Advertiser Analytics at Yahoo underline his leadership and practical experience in the industry.

Bill has extensive hands-on experience in big data, data science, design thinking, data monetization, and data economics.

Bill is currently a key member of Dell Technology’s core GenAI / AI customer engagement team. In this role, he leads AI business transformation workshops, helping customers harness the power of AI and data to drive more relevant, meaningful, responsible, and ethical business and operational outcomes. His current position underscores his continued dedication to staying at the forefront of the industry.

Bill is the former Chief Innovation Officer at Hitachi Vantara, where he was responsible for driving the Company’s Data Science and “co-creation” efforts. For his ground-breaking work in data science and automated machine learning, he was selected for Hitachi Limited’s 2020 Solution Innovation Award.

Bill also has served as CTO at Dell EMC, where he formulated the company’s Big Data Practice strategy, identified target markets, developed solution frameworks, and led Analytics client engagements with his Vision Workshop, a methodology that links an organization’s strategic business initiatives with supporting data and analytics. As the VP of Analytics at Yahoo, Bill delivered the analytics tools and applications that optimized customers’ online marketing spend.

Bill is the author of four books, including:

• “Big Data: Understanding How Data Powers Big Business”

• “Big Data MBA: Driving Business Strategies with Data Science”

• “The Economics of Data, Analytics, and Digital Transformation”

• “AI & Data Literacy: Empowering Citizens of Data Science”

• “The Art of Thinking Like a Data Scientist” Second Edition

Bill is an Honorary Professor at the University of Ireland – Galway and an Executive Fellow at the University of San Francisco School of Management. AI Research Fellow at Coe College and a lecturer at Iowa State University. He has conducted lectures for universities worldwide on topics including “Unleashing the Economic Value of Data”, “The Art of Thinking Like a Data Scientist”, and “Future-proofing your Career.” He also teaches “Big Data MBA: Thinking Like a Data Scientist” at Iowa State University.

Bill has served on the City of San Jose’s Technology Innovation Board and The Data Warehouse Institute and Strata faculties. He is an avid blogger and is ranked the #4 Big Data, #4 Data Science, and #6 Digital Transformation influencer worldwide by Onalytica. He is a frequent event and corporate speaker, and leading industry publications and conferences seek his expertise.

Bill holds a Master of Business Administration from the University of Iowa and a Bachelor of Science in Mathematics, Computer Science, and Business Administration from Coe College.

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4.6 out of 5 stars
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Great primer for the AI revolution!
5 out of 5 stars
Great primer for the AI revolution!
Great book that will appeal to readers of all levels of data and AI proficiency. It's got something for everyone.
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Top reviews from the United States

  • John K Thompson
    5.0 out of 5 stars Wanting to understand how you can become involved in the AI movement? Start here.
    Reviewed in the United States on August 21, 2023
    Format: PaperbackVerified Purchase
    Bill is a colleague and a friend. We have worked together for over 30 years. And yet, I am still impressed with his ability to examine, analyze, and communicate a concise synopsis of the value and implications of each new technology and wave of innovation. I learned from reading this book and I am industry practitioner in AI! Buy this book, now.
    One person found this helpful
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  • Michael Galatis
    5.0 out of 5 stars Good book for just beginning the AI journey
    Reviewed in the United States on April 2, 2024
    Format: PaperbackVerified Purchase
    Well written.. good first book on AI
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  • Dr. Joe Perez
    5.0 out of 5 stars An Enthralling Expedition into AI & Data
    Reviewed in the United States on May 20, 2024
    Format: Paperback
    For someone who is deeply intrigued by the world of AI, I can tell you that Bill Schmarzo's book is simply magnificent! Ever since I started going through it, I felt as though I were going on a journey; one that was taking me from being just an observer to a "Data Science Citizen" (as the subtitle aptly implies), empowered and with a purpose.

    In the book, Schmarzo ingeniously combines theories, practical examples, and insights from real experience. He has an entertaining writing style that makes things that are very complex sound understandable. Even terms like nanoeconomics and customer co-creation made sense. Nevertheless, the book is appealing whether you're a data professional or a beginner; there's enough of a combination of depth and simplicity to satisfy both types of appetite.

    Bill doesn't avoid tough questions; rather he poses that we think about the ethical implications of AI. While reading, I had to pause and think if they apply to me and my work as well. The section about the Ethical AI Pyramid was especially enlightening and practical. The book also includes interesting stories, like the one where Schmarzo accitentally trained his AI model to predict the weather based on squirrel behavior.

    To sum it up, "AI & Data Literacy" goes beyond just being a book; it serves as a mentor and a trusted companion that can help you get to a future driven by data. So find a cozy reading spot, grab some coffee or hot chocolate, and get ready to dive into an enthralling expedition -- you won't be disappointed!
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  • Blaine Bateman
    4.0 out of 5 stars Good straight talking points about reality of AI
    Reviewed in the United States on July 26, 2023
    Format: Paperback
    The book is targeted at "citizens" which should include managers who may over-see AI development or projects. It takes the position that AI can and will do what we ask of it, and therefore it's critical to understand how to design it for good outcomes, and especially how to measure it. The author speaks to the "Citizens of Data Science Mandate"--to wit "Ensuring that everyone, of every age and every background, has access to the education necessary to flourish in an age where economic growth and personal development opportunities are driven by AI and data." This emphasizes that the future will be completely intertwined with AI, so it's beneficial for everyone to know about it.

    The work touches on key areas such as data privacy ("we should NOT wait for the government to protect us"), ethics, critical thinking, and understanding unintended consequences. An interesting point of view is the author's proposing to approach AI with an AND mentality vs. an OR mentality. In other words, instead of accepting tradeoffs, ask if can can have AI AND privacy (my example).

    There is a large section on Analytics Literacy, walking the reader from operational reporting and basic statistical analysis to Artificial General Intelligence. There are also sections describing some workings of AI systems, followed by discussions of value engineering, ethics of AI adoption, and cultural empowerment.

    Notably the book ends with "ChatGPT Changes Everything" with some helpful understandings about how generative AI works and why it is important.

    Overall this is a good read and would be excellent for non-technical managers as well as anyone interested in AI and the intersection of these new technologies and societies.
    2 people found this helpful
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  • Ham Sandwich
    5.0 out of 5 stars Everybody in the world should read this and have to prove that they did
    Reviewed in the United States on July 26, 2023
    Format: Paperback
    I review a lot of Packt books, but this one is the best yet.

    Why? The subject matter intersects every aspect of our lives and the implications of using AI are far from understood by even professionals in the space.

    The authors write the book in a style that is accessible to a non-technical audience, and that's important because (1) most people are non-technical; and (2) technical people such as myself are on the whole not experts in uses and dangers of AI.

    "Mysterious coincidences" - like Amazon's sending me an email asking me to buy this book after I post this review - are explained. Turns out anyone who wants to make money has been following you all along in increasingly spooky and invasive ways. You weren't paranoid.

    There is a lead-in on ethics, which turns out to be a subject many technologists and a large part of the voting public seem to have missed in school. The foundations of using AI in an ethical manner and the distinctions of it, data science, and business intelligence are defined: this goal is lofty and will remain blurred for the expense of rewarding shareholders, but it is defined.

    The quantum shift brought on by ChatGPT and Generative AI (GenAI) is properly identified and explained. The key takeaway (for me) is that what you say and do in almost any context will be parsed and likely used against you in numerous ways. The rest of the technical discussion is a nice-to-have, and does a good job throughout.

    To the people and bots "reading" this - this should be something HR has every employee run through. Highly recommend.
    2 people found this helpful
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Top reviews from other countries

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  • Ursula Schulz
    5.0 out of 5 stars Umfassende und tief gehende Erläuterungen zum Thema AI und was man dazu wissen sollte.
    Reviewed in Germany on May 21, 2024
    Format: PaperbackVerified Purchase
    Informativ, nachvollziehbar und gut verständlich! Viele Hintergrundinformationen zum Thema "Daten als Währung" bzw. zu den Geschäftsmodellen der großen Player. Ein gutes Investment in die persönliche Data Literacy!
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  • KMA Omar
    5.0 out of 5 stars Simple and effective
    Reviewed in Germany on October 28, 2023
    Format: PaperbackVerified Purchase
    What an amazing read with breadth of fundamentals on data and AI. This book is a must read for any leader who is looking to learn the basics of data and AI in this modern digital age.
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