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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

AI over Data

Let’s presume we did an excellent job in the previous section, where we thoroughly analyzed the data at an enterprise using powerful, AI-driven DG and management tools. We set our own expanded AI governance policies and ensured that our AI models are compliant with the latest AI ethics for their intended use.

It is now time to start explicitly benefiting from all the hard work we have done! Time to run AI over the data, aiming for insights, transformative patterns, and predictions. The following figure represents the various transformational opportunities with AI over the business data, with every business in scope becoming an AI business:

Figure 13.2 – AI over business data represents endless innovative opportunities

Figure 13.2 – AI over business data represents endless innovative opportunities

Now, I will review and exemplify three dedicated three groups where AI over Data might drive the most impact. Namely, we will cover custom-built LLMs and dedicated orchestrators, leading AI use cases across industries...

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