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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
Concepts
Author (1):
Dmitry Shargorodsky Dmitry Shargorodsky
Profile icon Dmitry Shargorodsky
LinkedIn
Dmitry Shargorodsky is a seasoned expert with extensive experience working with Microsoft's Dynamics 365 products since 2004. He has two decades of experience with customer relationship management software, data integration, business intelligence, and now the rapidly developing field of artificial intelligence. Dmitry has honed his skills through hundreds of projects in consulting roles in the areas of education, insurance, investment funds, real estate, legal, manufacturing, wholesale, medical devices, health care, non-profits, software, retail, telecommunications, and others. Leveraging these years of work across many industries, Dmitry incorporates cutting-edge technologies, particularly artificial intelligence tools, to drive innovation and efficiency.
See other products by 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

Answers

  1. The emerging AI trend that focuses on enhancing businesses’ interaction with textual data is advanced NLP. It benefits Dynamics 365 AI by improving customer service chatbots’ understanding and response to user sentiments and enabling more sophisticated data analysis capabilities, allowing for deeper insights into customer feedback and inquiries.
  2. Predictive analytics within Dynamics 365 AI contributes to strategic decision-making by leveraging vast datasets to forecast future business conditions, customer behaviors, and market trends with unprecedented accuracy. This enables businesses to identify potential sales opportunities, anticipate customer churn, and optimize marketing strategies, thereby making more informed and strategic decisions.
  3. The significance of automated AI (AutoML) and no-code AI solutions in Dynamics 365 AI lies in democratizing access to advanced analytics. These tools allow business analysts and decision-makers to create custom...
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Authors (1)

Profile icon Dmitry Shargorodsky
LinkedIn
Dmitry Shargorodsky is a seasoned expert with extensive experience working with Microsoft's Dynamics 365 products since 2004. He has two decades of experience with customer relationship management software, data integration, business intelligence, and now the rapidly developing field of artificial intelligence. Dmitry has honed his skills through hundreds of projects in consulting roles in the areas of education, insurance, investment funds, real estate, legal, manufacturing, wholesale, medical devices, health care, non-profits, software, retail, telecommunications, and others. Leveraging these years of work across many industries, Dmitry incorporates cutting-edge technologies, particularly artificial intelligence tools, to drive innovation and efficiency.
Read more
See other products by Dmitry Shargorodsky

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