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The Economics of Data, Analytics, and Digital Transformation

You're reading from The Economics of Data, Analytics, and Digital Transformation

Product type Book

Published in Nov 2020

Publisher Packt

ISBN-13 9781800561410

Pages 260 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Bill Schmarzo

Table of Contents (14) Chapters

Preface

1. The CEO Mandate: Become Value‑driven, Not Data-driven

2. Value Engineering: The Secret Sauce for Data Science Success

3. A Review of Basic Economic Concepts

4. University of San Francisco Economic Value of Data Research Paper

5. The Economic Value of Data Theorems

6. The Economics of Artificial Intelligence

7. The Schmarzo Economic Digital Asset Valuation Theorem

8. The 8 Laws of Digital Transformation

9. Creating a Culture of Innovation Through Empowerment

10. Other Books You May Enjoy

11. Index

Appendix A: My Most Popular Economics of Data, Analytics, and Digital Transformation Infographics

1. Appendix B: The Economics of Data, Analytics, and Digital Transformation Cheat Sheet

Case Study #1: Google TensorFlow

The Google Search business may be the most profitable business in the world. Google enjoys outrageous profit margins and market share domination of the world's #1 digital marketing media—search marketing. And the tool that drives Google's search marketing dominance is TensorFlow.

TensorFlow is an open-source ML and DL software library developed and managed by Google for data processing and model-driven programming across a range of tasks. Not only does Google's use of TensorFlow serve as the basis for its insanely profitable search engine, but TensorFlow also supports many other Google services including Photos (it auto-magically groups your photos into storyboards or collages), spoken word recognition (natural language processing), and foreign language translation (handy for me as I frequently travel internationally). Figure 6.9 depicts TensorFlow's high-level architecture, which is arguably the foundation for everything...

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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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