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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

Enhanced fraud detection and prevention using advanced analytics with Dynamics 365 AI

In an era marked by increasingly sophisticated financial fraud, Dynamics 365 AI offers an advanced suite of tools and techniques designed to detect and prevent fraudulent activities. This section delves deeper into how Dynamics 365 AI employs complex analytics to provide robust fraud protection mechanisms.

Employing a multifaceted analytical approach for detection

Dynamics 365 AI doesn’t rely on a single method but combines various advanced analytical techniques to detect fraudulent activities. These include the following:

  • Anomaly detection: This technique identifies unusual patterns that deviate significantly from established normal behaviors. Dynamics 365 AI utilizes sophisticated anomaly detection algorithms that consider a multitude of factors, such as transaction size, frequency, and the network of entities involved. For instance, it can flag unusually large transactions...
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