AI & Data Literacy: Empowering Citizens of Data Science


AI & Data Literacy: Empowering Citizens of Data Science
Author: Bill Schmarzo (Author)
Publisher finelybook 出版社:‏ Packt Publishing
Publication Date 出版日期:‏ 2023-07-26
Language 语言: English
Print Length 页数: 238 pages
ISBN-10: 1835083501
ISBN-13: 9781835083505

Book Description

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


“…not only be essential in the office of the CDAOs and their teams, but will be used by CEOs, Board members, Managers in the Business Units, Front line staff, well, everybody in business and technology.”


Debbie Botha, Women in AI Global Chief Partnership Officer, Dalebrook Media Middle East Managing Director


“…provides a very didactic and pragmatic content to educate a broad audience of citizens while being very exhaustive.”


Nicolas Averseng, Founder & CEO at YOOI


“…an important work to help society understand AI’s business, environmental, social, and economic potential.”


David Hendrawirawan, Founder, Data Integrity First

About the Author

Bill Schmarzo is the CTO for the Big Data Practice, where he is responsible for working with organizations to help them identify where and how to start their big data journeys. He’s written several white papers, is an avid blogger, and is a frequent speaker on the use of Big Data and data science to power an organization’s key business initiatives. He is a University of San Francisco School of Management Fellow, where he teaches the “Big Data MBA” course.Bill has over three decades of experience in data warehousing, BI, and analytics. Bill authored EMC’s Vision Workshop methodology, which links an organization’s strategic business initiatives with its supporting data and analytic requirements, and co-authored with Ralph Kimball a series of articles on analytic applications. Bill has served on The Data Warehouse Institute’s faculty as the head of the analytic applications curriculum.Bill holds a masters degree in Business Administration from the University of Iowa and a Bachelor of Science degree in Mathematics, Computer Science and Business Administration from Coe College.

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