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Book Cover for: AI & Data Literacy: Empowering Citizens of Data Science, Bill Schmarzo

AI & Data Literacy: Empowering Citizens of Data Science

Bill Schmarzo

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 the 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 the knowledge of 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 for anyone looking to navigate an AI-driven future and make the most of the emerging technologies that have begun changing every industry without exception. Whether you're looking to expand your career prospects, find opportunities in your industry, future-proof your organization, or simply need guidance to keep up with the rapid progress, this book will help you gain a better understanding of AI and data for years to come.

Book Details

  • Publisher: Packt Publishing
  • Publish Date: Jul 26th, 2023
  • Pages: 238
  • Language: English
  • Edition: undefined - undefined
  • Dimensions: 9.25in - 7.50in - 0.50in - 0.92lb
  • EAN: 9781835083505
  • Categories: Data Science - Data AnalyticsDecision Making & Problem Solving

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About the Author

Schmarzo, Bill: - 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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