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Microsoft Dynamics 365 AI for Business Insights

You're reading from  Microsoft Dynamics 365 AI for Business Insights

Product type Book
Published in Mar 2024
Publisher Packt
ISBN-13 9781801810944
Pages 178 pages
Edition 1st Edition
Languages
Author (1):
Dmitry Shargorodsky Dmitry Shargorodsky
Profile icon Dmitry Shargorodsky

Table of Contents (18) Chapters

Preface 1. Part 1: Foundations of Dynamics 365 AI
2. Chapter 1: Introduction and Architectural Overview of Dynamics 365 AI 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

Social media sentiment analysis and brand perception insights

In the digital era, social media is a goldmine of customer insights, and understanding social sentiment is crucial for brand management. Dynamics 365 AI steps into this arena with powerful tools for social media sentiment analysis and brand perception insights. This section explores how Dynamics 365 AI processes and interprets social media data to provide businesses with critical insights into their brand’s public perception.

Harnessing social media data

Social media platforms are rich with customer opinions, reviews, and discussions. Dynamics 365 AI taps into this vast resource by aggregating and analyzing data from various social media channels. It employs advanced natural language processing (NLP) to decipher the tone, context, and sentiment behind social media posts and comments related to a brand or product.

Sentiment analysis and emotional intelligence

At the core of this functionality is sentiment...

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