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Data Management Strategy at Microsoft

You're reading from   Data Management Strategy at Microsoft Best practices from a tech giant's decade-long data transformation journey

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781835469187
Length 270 pages
Edition 1st Edition
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Author (1):
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Aleksejs Plotnikovs Aleksejs Plotnikovs
Author Profile Icon Aleksejs Plotnikovs
Aleksejs Plotnikovs
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Table of Contents (19) Chapters Close

Preface 1. Part 1:Thinking Local, Acting Global FREE CHAPTER
2. Chapter 1: Where’s My Data and Who’s in Charge? 3. Chapter 2: We Make Data Business Ready 4. Chapter 3: Thousands to One – From Locally Siloed to Globally Centralized Processes 5. Chapter 4: “Reactive! Proactive? Predictive” 6. Part 2: Build Insights to Global Capabilities
7. Chapter 5: Mastering Your Data Domains and Business Ownership 8. Chapter 6: Navigating the Strategic Data Dilemma 9. Chapter 7: Unique Data IP Is Your Magic 10. Chapter 8: The Pareto Principle in Action 11. Part 3: Intelligent Future
12. Chapter 9: Data Mastering and MDM 13. Chapter 10: Data Mesh and Data Governance 14. Chapter 11: Data Assets or Data Products? 15. Chapter 12: Data Value, Literacy, and Culture 16. Chapter 13: Getting Ready for GenAI 17. Index 18. Other Books You May Enjoy

The strategic role of data in AI

The strategic role of data in GenAI is comprehensive and crucial for several reasons. Let’s review them to establish a shared background for the following sections, in which we will cover AI readiness and application:

  • Learning foundations: In GenAI, data serves as the foundational element for learning and training. The algorithms learn from huge and diverse datasets to figure out the patterns, make predictions, and improve understanding. The quality, diversity, and volume of this data directly impact the AI’s ability to learn and function effectively. This leads us to the first key point in AI adoption – the dataset matters the most.
  • Fueling advanced and flexible capabilities: GenAI aims to perform a wide range of tasks that require understanding and reasoning similar to human intelligence. Data is essential for enabling these capabilities, as it provides the necessary information for the AI to process, analyze, and...
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