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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

Why AI and Data Literacy?

Data and Privacy Awareness

Analytics Literacy

Understanding How AI Works

Making Informed Decisions

Prediction and Statistics

Value Engineering Competency

Ethics of AI Adoption

Cultural Empowerment

ChatGPT Changes Everything

Glossary

Other Books You May Enjoy

Index

Summary

Everything about AI and data literacy can be applied to help us make more rational and informed decisions. Decisions represent the crucial juncture where theory and practical application merge, ultimately benefiting society as a whole. By harnessing the power of AI and understanding how to effectively interpret and utilize data, we empower ourselves and society to make choices that are grounded in reason and knowledge, leading to positive outcomes for all.

And while not every decision will require a formal decision matrix process, you’d be surprised how quickly one can develop informed decision-making as a muscle memory. And in a world where organizations are trying to influence your behaviors, beliefs, and actions through half-truths, white lies, fake news, and alternative facts, informed decision-making is an invaluable skill.

In the next chapter, we will delve into the fundamental statistical concepts that are essential for individuals and society to develop...

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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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