Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Microsoft Dynamics 365 AI for Business Insights
  • Table Of Contents Toc
  • Feedback & Rating feedback
Microsoft Dynamics 365 AI for Business Insights

Microsoft Dynamics 365 AI for Business Insights

By : Dmitry Shargorodsky
4.4 (7)
close
close
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)
close
close
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

Enhancing customer experience with virtual agents 
and chatbots

A defining feature of modern virtual agents and chatbots is their ability for continuous learning and adaptation, powered by advanced ML algorithms. This attribute ensures that they not only respond to customer inquiries but also evolve from each interaction, becoming more nuanced and effective over time. Next, we will address key aspects of virtual agents and chatbots, including the mechanics of continuous learning, feedback loops and data analysis, training, real-time performance adjustments, and integration of human feedback.

The mechanics of continuous learning

Virtual agents and chatbots are built on ML models that thrive on data. Each customer interaction is an opportunity for these models to learn and improve. For instance, when a chatbot successfully resolves a customer’s query, this outcome feeds back into the system, teaching the model about effective responses. Conversely, if a query is escalated...

Unlock full access

Continue reading for free

A Packt free trial gives you instant online access to our library of over 7000 practical eBooks and videos, constantly updated with the latest in tech

Create a Note

Modal Close icon
You need to login to use this feature.
notes
bookmark search playlist font-size

Change the font size

margin-width

Change margin width

day-mode

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY