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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
Author (1):
Bill Schmarzo Bill Schmarzo
Profile icon 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

The Schmarzo Economic Digital Asset Valuation Theorem

The "Economies of Learning" are more powerful than the "Economies of Scale."

In Chapter 6, The Economies of Artificial Intelligence, we learned that we can use Artificial Intelligence (AI) to create assets that appreciate, not depreciate, in value the more those assets are used. Both Google TensorFlow and Tesla's AI-powered Full Self-Driving (FSD) autonomous Autopilot module are continuously learning and adapting analytic assets that, through usage, are continuously getting more reliable, accurate, efficient, predictive, safe… and valuable.

In this chapter, I'll introduce the Schmarzo Economic Digital Asset Valuation Theorem (my attempt for a Nobel Prize in Economics). But before I deep dive into explaining the details behind the theorem, let's first have a little economics lesson.

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