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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

Answers

  1. GANs in generative AI consist of two neural networks, the generator and the discriminator, working in tandem. The generator creates data (such as images, text, etc.) that mimic real-world inputs, while the discriminator evaluates these outputs against actual data. The primary function of GANs is to produce highly realistic and believable outputs by continually refining the generator’s capabilities based on the feedback from the discriminator.
  2. Language models such as GPT-3 enhance Dynamics 365 applications by providing advanced natural language processing capabilities. They enable these applications to understand and generate human-like text, allowing for more sophisticated customer service chatbots, efficient automation of routine interactions, and insightful data analysis within business contexts.
  3. APIs act as a bridge in the integration process, facilitating the communication between Dynamics 365 applications and generative AI models. They allow for the...

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