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Microsoft Dynamics 365 AI for Business Insights

You're reading from   Microsoft Dynamics 365 AI for Business Insights Transform your business processes with the practical implementation of Dynamics 365 AI modules

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Product type Paperback
Published in Mar 2024
Publisher Packt
ISBN-13 9781801810944
Length 178 pages
Edition 1st Edition
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Author (1):
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Dmitry Shargorodsky Dmitry Shargorodsky
Author Profile Icon Dmitry Shargorodsky
Dmitry Shargorodsky
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Toc

Table of Contents (18) Chapters Close

Preface 1. Part 1: Foundations of Dynamics 365 AI
2. Chapter 1: Introduction and Architectural Overview of Dynamics 365 AI FREE CHAPTER 3. Chapter 2: Microsoft Dynamics 365 AI Architecture and Foundations 4. Part 2: Implementing Dynamics 365 AI Across Business Functions
5. Chapter 3: Implementing Dynamics 365 AI for Sales Insights 6. Chapter 4: Driving Customer Service Excellence with Dynamics 365 AI 7. Chapter 5: Marketing Optimization with Dynamics 365 AI 8. Chapter 6: Financial Analytics with Dynamics 365 AI 9. Part 3: Advanced Applications and Future Directions
10. Chapter 7: Leveraging Generative AI in Dynamics 365 11. Chapter 8: Harnessing MS Copilot for Enhanced Business Insights 12. Chapter 9: “Virtual Agent for Customer Service” in the Context of MS Copilot and Microsoft Dynamics 13. Chapter 10: Fraud Protection with Dynamics 365 AI 14. Part 4: Looking Ahead
15. Chapter 11: Future Trends and Developments in Dynamics 365 AI 16. Index 17. Other Books You May Enjoy

Real-world use cases and implementation examples 
of integrating language models and ChatGPT with Dynamics 365 AI

The integration of advanced language models and ChatGPT into Dynamics 365 AI is not just a theoretical advancement but a practical revolution in various industries. Here are some real-world use cases and implementation examples that demonstrate the transformative impact of this technology.

Use case 1 – Multinational retail chain enhances customer experience

Background: A leading multinational retail chain faced challenges in managing customer inquiries, especially during peak shopping seasons, leading to customer dissatisfaction.

Implementation:

  • The company integrated a GPT-3 powered chatbot with their Dynamics 365 Customer Service module.
  • This AI-driven chatbot was trained on extensive customer interaction data, product information, and company policies to ensure accurate and relevant responses.

Functionality:

  • The AI chatbot...
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