Cracking the Data Code
eBook - ePub

Cracking the Data Code

Pragmatics for Better Management and Governance

  1. 164 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Cracking the Data Code

Pragmatics for Better Management and Governance

About this book

Why do we continue to struggle with data? With all the powerful tools we have in processing power, data tools, and computer programming, we still search for some elusive truth to pervasive problems. AI hallucinates, 'good data' that we started with is suddenly unintelligible, systems that should talk to each other seamlessly continually experience errors and need correction.

What we fail to incorporate into our data world is the fact that data is language and has entwined in that language its own code that does not get captured in databases, APIs, LLMs and the systems we use day in and day out. So, how can we crack this data code?

By stepping back, we can incorporate the tools that already exist in applied linguistics used to crack the human language code into our approaches in how we tackle the data code challenge. Just because we call it data doesn't mean that it doesn't suffer from bias or the need for context. But by recognizing these linguistic challenges, and infusing that inside the data, we can create data code that can be cracked, data that tells us its biases, context, and purpose, and for who that data is actually useful to, and for whom it is not.

If you are interested in data, and why understanding language and jargon can help you crack the data code, this book is for you. If you've had a data challenge and have struggled to find a way to understand it, the practical foundational principles inside can help you frame your problem in a different way. And in doing so, help you crack the data code.

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Yes, you can access Cracking the Data Code by Richard C. Robinson in PDF and/or ePUB format, as well as other popular books in Computer Science & Finance. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Front Cover
  2. Half Title
  3. Title Page
  4. Copyright
  5. Dedication
  6. Description
  7. Acknowledgments
  8. Introduction
  9. Chapter 1 The First Book
  10. Chapter 2 Communities of Practice (CoPs)
  11. Chapter 3 Common Standards
  12. Chapter 4 Applied Linguistics for the Layperson
  13. Chapter 5 Semantics Is Just Semantics
  14. Chapter 6 The False Premise: Everybody Needs to Know Everything
  15. Chapter 7 Granular Data as a Red Herring
  16. Chapter 8 Practical Pragmatics—A Primer for Later
  17. Chapter 9 The Failure of (How) Technology (Is Applied)
  18. Chapter 10 Pragmatics in Practice
  19. Chapter 11 Some Final Words
  20. Notes
  21. References
  22. About the Author
  23. Index
  24. Other Titles in the Big Data/Business Analytics and Smart Technology Collection
  25. Back Cover