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AI & Data Literacy

You're reading from AI & Data Literacy

Product type Book

Published in Jul 2023

Publisher Packt

ISBN-13 9781835083505

Pages 238 pages

Edition 1st Edition

Languages

Concepts

Artificial Intelligence

Author (1):

Bill Schmarzo

Table of Contents (14) Chapters

Preface

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

11. Glossary

12. Other Books You May Enjoy

13. Index

How organizations monetize your personal data

We mentioned in the previous chapter that “data is the new oil”. In the same way that oil drove economic growth in the 20th century, data will be the fuel that drives economic growth in the 21st century.

Companies collect and analyze your personal data with the objective of influencing your perspectives, decisions, and actions. Companies such as Facebook, Google, Amazon, Netflix, and Spotify monetize your data by uncovering the individual propensities and tendencies buried in your data and then using those personal propensities and tendencies to influence your purchase and usage decisions… and sometimes even your opinions.

Figure 2.9 shows how Google leverages your free search requests to create a market for advertisers willing to pay to place their products and messages at the top of your search results.

Figure 2.9: Data flows in a typical real-time bidding system (taken from eff.org/deeplinks/2020...

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Authors (1)

Bill Schmarzo

Bill Schmarzo, The Dean of Big Data is 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 and mentors students in his courses “Big Data MBA” and “Thinking Like a Data Scientist". He is the author of Big Data: Understanding How Data Powers Big Business, Big Data MBA: Driving Business Strategies with Data Science, and The Art of Thinking Like a Data Scientist. He has written countless whitepapers, articles and blogs, and given keynote presentations and university lectures on the topics of data science, artificial intelligence/machine learning, data economics, design thinking and team empowerment.

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