Microsoft Dynamics 365 AI for Business Insights Transform Your Business Processes with the Practical Implementation of Dynamics 365 AI Modules
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Shargorodsky, D. (2024). Microsoft Dynamics 365 AI for Business Insights: Transform Your Business Processes with the Practical Implementation of Dynamics 365 AI Modules (1st edition.). Packt Publishing, Limited.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Shargorodsky, Dmitry. 2024. Microsoft Dynamics 365 AI for Business Insights: Transform Your Business Processes With the Practical Implementation of Dynamics 365 AI Modules. Birmingham: Packt Publishing, Limited.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Shargorodsky, Dmitry. Microsoft Dynamics 365 AI for Business Insights: Transform Your Business Processes With the Practical Implementation of Dynamics 365 AI Modules Birmingham: Packt Publishing, Limited, 2024.
Harvard Citation (style guide)Shargorodsky, D. (2024). Microsoft dynamics 365 AI for business insights: transform your business processes with the practical implementation of dynamics 365 AI modules. 1st edn. Birmingham: Packt Publishing, Limited.
MLA Citation, 9th Edition (style guide)Shargorodsky, Dmitry. Microsoft Dynamics 365 AI for Business Insights: Transform Your Business Processes With the Practical Implementation of Dynamics 365 AI Modules 1st edition., Packt Publishing, Limited, 2024.
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Grouped Work ID | 4498c078-b32b-8a80-b6b7-2ad58cd590ec-eng |
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Full title | microsoft dynamics 365 ai for business insights transform your business processes with the practical implementation of dynamics 365 ai modules |
Author | shargorodsky dmitry |
Grouping Category | book |
Last Update | 2025-02-11 03:40:45AM |
Last Indexed | 2025-05-22 03:13:32AM |
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Image Source | default |
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First Loaded | Feb 1, 2025 |
Last Used | Feb 9, 2025 |
Marc Record
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245 | 1 | 0 | |a Microsoft Dynamics 365 AI for Business Insights|h [electronic resource] :|b Transform Your Business Processes with the Practical Implementation of Dynamics 365 AI Modules /|c Dmitry Shargorodsky. |
250 | |a 1st edition. | ||
260 | |a Birmingham :|b Packt Publishing, Limited,|c 2024. | ||
300 | |a 1 online resource (178 p.) | ||
500 | |a Description based upon print version of record. | ||
500 | |a Summary | ||
505 | 0 | |a Cover -- Title page -- Copyright and credits -- Contributors -- Table of Contents -- Preface -- Part 1: Foundations of Dynamics 365 AI -- Chapter 1: Introduction and Architectural Overview of Dynamics 365 AI -- Why artificial intelligence? -- The importance of data-driven insights in business -- An overview of Microsoft Dynamics 365 AI for Business Insights -- The objectives and structure of the book -- Summary -- Questions -- Answers -- Chapter 2: Microsoft Dynamics 365 AI Architecture and Foundations -- An overview of the architecture of Microsoft Dynamics 365 AI | |
505 | 8 | |a Cloud-based architecture -- AI technologies integration -- Modular components and microservices -- Data management and storage -- Security and compliance -- API and SDKs -- Real-time analytics engine -- Streamlined user interface -- Infrastructure resilience and fault tolerance -- Extensibility and future-proofing -- The key components and their interactions -- Data storage -- the bedrock of AI -- AI models -- the analytical engines -- Cognitive services -- adding a layer of intelligence -- Integration interfaces -- the connective tissue -- Cross-component collaboration -- a symphony of interactions | |
505 | 8 | |a Business empowerment -- the ultimate goal -- Scalability and adaptability -- designed for growth -- Security and compliance across components -- Integration considerations and best practices -- Data integration -- the starting point -- Security measures -- non-negotiable -- Scalability -- planning for growth -- Performance optimization -- getting the most out of your system -- Documentation and training -- the human element -- The iterative nature of integration -- Summary -- Questions -- Answers -- Part 2: Implementing Dynamics 365 AI Across Business Functions | |
505 | 8 | |a Chapter 3: Implementing Dynamics 365 AI for Sales Insights -- Leveraging AI for customer segmentation and targeting -- Segmentation beyond the surface -- Refining targeting strategies -- Predictive analysis -- the game-changer -- Dynamics 365 -- a bedrock of quality data -- Real-world impact -- a clothing brand case study -- Predictive lead scoring and opportunity management -- Anatomy of predictive lead scoring in Dynamics 365 AI -- The transformative nature of predictive scoring in sales -- Holistic opportunity management with Dynamics 365 AI | |
505 | 8 | |a Deep dive into predictive analysis and its implications -- An illustration of predictive lead scoring -- Personalization and recommendation engines for sales effectiveness -- Data-driven personalization in Dynamics 365 AI -- Recommendation engines -- beyond the obvious -- Feedback loops and iterative refinement -- Personalization in action -- a real-world glimpse -- Examples -- Example 1 -- ElevateApparel's customer segmentation triumph -- Example 2 -- ProTech Solutions and the predictive power -- Example 3 -- NovelReads' personalized book journey -- Limitations and pitfalls of using AI for sales | |
520 | |a Streamline your business operations by leveraging AI across key functions using practical examples and insightful case studies Key Features Uncover the practical applications of Dynamics 365 AI across sales, customer service, marketing, and finance Explore Dynamics 365's integration with advanced AI tools such as OpenAI, Azure Open AI, and MS Copilot Learn from real-world examples and case studies Purchase of the print or Kindle book includes a free PDF eBook Book Description 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. What you will learn Overcome common challenges in Dynamics 365 AI implementation with ease Delve into the practical applications of advanced generative AI tools Integrate cutting-edge tools such as OpenAI Service, Azure Open AI, language models, and Microsoft Copilot with Dynamics 365 AI Derive insights from real-world examples of successful AI implementation Discover best practices and strategies for leveraging AI to find useful business insights and enhance operations Explore Microsoft's roadmap for Dynamics 365 AI and the forthcoming trends in AI for business Who this book is for This book is for Dynamics 365 consultants, architects, and IT managers, willing to implement AI in their organizations. Business consultants advising on business technology, especially those focused on Microsoft Dynamics 365, will find it useful for enhancing their skills. A basic understanding of Microsoft Dynamics 365 and its suite of business applications will be beneficial as the book's focus is on implementing the tool's AI modules. Familiarity with the principles of artificial intelligence and how it is applied in a business context will also be helpful. | ||
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