What this book covers
Chapter 1, Introduction and Architectural Overview of Dynamics 365 AI, provides an overview of Dynamics 365 AI, discussing its significance in the modern business landscape and how it integrates artificial intelligence to transform various business functions.
Chapter 2, Microsoft Dynamics 365 AI Architecture and Foundations, is an exploration of the underlying architecture of Dynamics 365 AI, detailing the key components, their interactions, and the foundational technology that powers the AI capabilities within Dynamics 365.
Chapter 3, Implementing Dynamics 365 AI for Sales Insights, focuses on leveraging Dynamics 365 AI for enhancing sales processes, including customer segmentation, lead scoring, and personalized sales strategies, to drive revenue and improve sales efficiency.
Chapter 4, Driving Customer Service Excellence with Dynamics 365 AI, examines how Dynamics 365 AI can transform customer service, utilizing virtual agents, sentiment analysis, and intelligent case routing to enhance customer interactions and satisfaction.
Chapter 5, Marketing Optimization with Dynamics 365 AI, discusses the application of Dynamics 365 AI in marketing, highlighting how AI-driven customer insights, content personalization, and campaign optimization can elevate marketing strategies.
Chapter 6, Financial Analytics with Dynamics 365 AI, explores the use of Dynamics 365 AI in financial analytics, covering AI-powered forecasting, budgeting, fraud detection, and risk management to bolster financial decision-making and security.
Chapter 7, Leveraging Generative AI in Dynamics 365, delves into the integration and applications of generative AI within Dynamics 365, showcasing how businesses can use generative models for content creation, code generation, and more innovative solutions.
Chapter 8, Harnessing MS Copilot for Enhanced Business Insights , takes an in-depth look at MS Copilot and its features, emphasizing how its integration enhances business intelligence, data analysis, and operational efficiency across Dynamics 365 applications.
Chapter 9, “Virtual Agent for Customer Service” in the Context of MS Copilot and Microsoft Dynamics, explores the deployment of AI-driven virtual agents within Dynamics 365 for automated customer support, focusing on implementation strategies, customization, and real-world success stories.
Chapter 10, Fraud Protection with Dynamics 365 AI, addresses how Dynamics 365 AI can be utilized for advanced fraud detection and prevention, outlining strategic approaches, technologies, and case studies in mitigating fraud-related risks.
Chapter 11, Future Trends and Developments in Dynamics 365 AI, foretells the emerging trends and future developments in Dynamics 365 AI, contemplating the evolution of AI technologies and their implications for businesses leveraging Dynamics 365.
Note
This book has been created by authors, technical experts, and a professional publishing team. We use many tools, including cutting-edge AI such as ChatGPT, to create the best possible material for our readers to help them on their IT journey.
