The AI-Enabled Enterprise Data Management Bible Audiolibro Por Paul Jones arte de portada

The AI-Enabled Enterprise Data Management Bible

Everything you need to know about Enterprise Data Management (EDM), co-authored using Chat GPT (an AI chatbot)

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The AI-Enabled Enterprise Data Management Bible

De: Paul Jones
Narrado por: Virtual Voice
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Acerca de esta escucha

 The AI-Enabled Enterprise Data Management Bible is the ultimate guide to maximizing the benefits of Enterprise Data Management (EDM) for your organization.

Co-authored using the Open AI chatbot, Chat GPT (used as a tool to accelerate and enable the writing process), this book is packed with valuable information and insights on every aspect of EDM.

From strategy to value delivery, this comprehensive textbook covers it all. It also delves into hot topics like Artificial Intelligence, Data Mesh and Data Fabric, providing a well-rounded understanding of the current state of the field.

And this is more than just a valuable resource on EDM – it's also a glimpse into the potential future of content creation, and includes a summary of the process followed to create the book using AI, a review of some of the ethical considerations, and a chapter on Chat GPT Business Opportunities.

Don't miss out on this essential guide to optimizing your organization's use of EDM. Get your copy of today and start realizing the full potential of your data.

Contents
The book contains the following chapters, offering a comprehensive overview of key Enterprise Data Management topics:
  1. Enterprise Data Management
  2. Enterprise Data Strategy
  3. Enterprise Data Policies and Standards
  4. Enterprise Data Governance
  5. Enterprise Metadata Management
  6. Enterprise Data Quality Management
  7. Enterprise Data Architecture
  8. Enterprise Data Integration
  9. Enterprise Master Data Management
  10. Enterprise Reference Data Management
  11. Enterprise Data Lineage
  12. Enterprise Records Management
  13. Enterprise Data Privacy
  14. Enterprise Data Security
  15. Enterprise Reporting and Insights (MI, BI, Data Viz)
  16. Enterprise Data Analytics
  17. Enterprise Artificial Intelligence & Machine Learning
  18. Enterprise Data Literacy
  19. Enterprise Data Culture
  20. Enterprise Data Management by Design
  21. Data Mesh
  22. Data Fabric
  23. Chat GPT Business Opportunities
Key questions
Each chapter covers the following at a minimum, and most cases even more:
  1. What is it?
  2. A description in terms a young child would understand
  3. An analogy to describe it
  4. The difference between the topic at an enterprise-level and a system-level or local-level
  5. The steps to roll it out
  6. The processes you need to run it
  7. The key business outcomes delivered by it
  8. A short story, which describes how it works in practice to deliver value
  9. Technologies used to support it
  10. The 5 most common pitfalls in rolling it out
  11. Critical success factors for rolling it out
  12. The team you need to roll it out
  13. Measures for tracking success
  14. Why should a Chief Executive Officer (CEO) care?
  15. Why should a Chief Marketing Officer (CMO) care?
  16. Why should a Chief Financial Officer (CFO) care?
  17. Why is it important for Artificial Intelligence (AI)?
  18. Job description for a “Head of” role who would lead the delivery and operation of it

Chat GPT - Insights and Business Opportunities
The Introduction also provides an overview of the approach to creating the book, lessons learned about the use of Chat GPT and some ethical considerations about using Chat GPT to generate content.

There is also a chapter dedicated to Business Opportunities with Chat GPT, which provides suggestions for how Chat GPT could be used for a range of functions including Marketing, Sales, Customer Experience, Operations, Human Resources (HR), Finance, and Risk.
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