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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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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

Summary

As we draw this chapter to a close, we stand at a pivotal moment in the evolution of business technology. The integration of advanced language models such as GPT-3 and ChatGPT into Dynamics 365 AI is not merely an enhancement of existing capabilities; it is a paradigm shift in how businesses interact with data, engage with customers, and optimize their operations. This chapter has been a journey through the intricate landscape of generative AI, revealing its vast potential and the transformative impact it holds for businesses across various industries.

We delved deep into the technical aspects of embedding generative AI into Dynamics 365, uncovering the nuances of API-driven interactions, data flow management, and the bespoke tailoring of AI models to suit specific business contexts. This technical exploration illuminated the remarkable capabilities of generative AI, from understanding and generating human-like text to offering predictive insights that were once beyond the...

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