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Microsoft Dynamics 365 AI for Business Insights

Microsoft Dynamics 365 AI for Business Insights

By : Dmitry Shargorodsky
4.4 (7)
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Microsoft Dynamics 365 AI for Business Insights

Microsoft Dynamics 365 AI for Business Insights

4.4 (7)
By: Dmitry Shargorodsky

Overview of this book

If there is one hot topic being discussed in every boardroom meeting today, it’s AI. With Microsoft Dynamics 365 AI proving to be a game-changer, it’s essential for business professionals to master this tool. Microsoft Dynamics 365 AI for Business Insights will help you harness AI across key business functions to streamline processes and enhance customer experiences. Written by a seasoned professional with 15+ years of experience, this book guides you through Dynamics 365 AI’s practical applications across sales, customer service, marketing, and finance departments. You'll learn how to enhance customer experiences, streamline sales processes, optimize marketing strategies, and improve financial forecasting. This book also explores the integration of generative AI tools such as OpenAI Service, Azure Open AI, language models, and Microsoft Copilot within the Dynamics 365 ecosystem. With real-world examples, case studies, and expert insights, you’ll discover the transformative potential of this powerful toolkit. As well as driving sales insights and implementing fraud protection, you’ll explore emerging AI trends, Microsoft's roadmap for Dynamics 365 AI, and the upcoming features. By the end, you’ll be all set to unlock new growth opportunities using Dynamics 365 AI.
Table of Contents (18 chapters)
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1
Part 1: Foundations of Dynamics 365 AI
4
Part 2: Implementing Dynamics 365 AI Across Business Functions
9
Part 3: Advanced Applications and Future Directions
14
Part 4: Looking Ahead

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

adaptive learning for evolving threats 129

advanced analytics 124

advanced AI-powered demand forecasting 125, 126

challenges 128

diagnostic analytics 125

extending, with Copilot Studio 124

external insights, incorporating 127, 128

Microsoft Intune Advanced Analytics 126

ML, for enhanced detection 126, 127

real-time analytics, for immediate action 127

sophisticated data analysis tools and techniques 124

advanced pattern and anomaly detection 62

AI-driven customer segmentation and campaign targeting 44

advanced customer segmentation 44

ethical considerations in data handling 46

machine learning and predictive analytics 45

personalization at scale 45

real-time campaign adjustments 45

seamless omnichannel marketing integration 45

AI-driven customer...

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