Design, develop, and deploy human-like AI solutions that chat with your customers, solve their problems, and streamline your support services.
In Conversational AI, you will learn how to:
Pick the right AI assistant type and channel for your needs
Write dialog with intentional tone and specificity
Train your AI’s classifier from the ground up
Create question-and-direct-response AI assistants
Design and optimize a process flow for web and voice
Test your assistant’s accuracy and plan out improvements
Conversational AI: Chatbots that work teaches you to create the kind of AI-enabled assistants that are revolutionizing the customer service industry. You’ll learn to build effective conversational AI that can automate common inquiries and easily address your customers' most common problems. This engaging and entertaining book delivers the essential technical and creative skills for designing successful AI solutions, from coding process flows and training machine learning, to improving your written dialog.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
About the technology
Create AI-driven chatbots and other intelligent agents that humans actually enjoy talking to! Adding intelligence to automated response systems saves time and money for you and your customers. Conversational AI systems excel at routine tasks such as answering common questions, classifying issues, and routing customers to the appropriate human staff. This book will show you how to build effective, production-ready AI assistants.
About the book
Conversational AI is a guide to creating AI-driven voice and text agents for customer support and other conversational tasks. This practical and entertaining book combines design theory with techniques for building and training AI systems. In it, you’ll learn how to find training data, assess performance, and write dialog that sounds human. You’ll go from building simple chatbots to designing the voice assistant for a complete call center.
What's inside
Pick the right AI for your needs
Train your AI classifier
Create question-and-direct-response assistants
Design and optimize a process flow
About the reader
For software developers. Examples use Watson Assistant and Python.
About the author
Andrew R. Freed is a Master Inventor and Senior Technical Staff Member at IBM. He has worked in AI solutions since 2012.
Table of Contents
PART 1 FOUNDATIONS
1 Introduction to conversational AI
2 Building your first conversational AI
PART 2 DESIGNING FOR SUCCESS
3 Designing effective processes
4 Designing effective dialogue
5 Building a successful AI assistant
PART 3 TRAINING AND TESTING
6 Training your assistant
7 How accurate is your assistant?
8 Testing your dialogue flows
PART 4 MAINTENANCE
9 Deployment and management
10 Improving your assistant
PART 5 ADVANCED/OPTIONAL TOPICS
11 Building your own classifier
12 Additional training for voice assistants
"synopsis" may belong to another edition of this title.
Andrew R. Freed is a Master Inventor and Senior Technical Staff Member at IBM. He’s the co-host of the AI Zen podcast. Andrew has extensive experience deploying high-volume virtual assistants and has been working in AI solutions since 2012.
Conversational AI is a guide to creating AI-driven voice and text agents for customer support and other conversational tasks. This practical and entertaining book combines design theory with techniques for building and training AI systems. In it, you'll learn how to find training data, assess performance, and write dialog that sounds human. You'll go from building simple chatbots to designing the voice assistant for a complete call center.
"About this title" may belong to another edition of this title.
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Paperback. Condition: New. "Do you want to learn how to creat your own virtual agent? If so, have I got the book for you!" - Thomas Joseph Heiman Design, develop, and deploy human-like AI solutions that chat with your customers, solve their problems, and streamline your support services. Creating Virtual Assistants: Chatbots that work teaches you to create the kind of AI-enabled chatbots that are revolutionizing the customer service industry. You'll learn to build effective conversational AI that can automate common inquiries and easily address your customers' most common problems. In Creating Virtual Assistants, you will learn how to: Pick the right virtual assistant type and channel for your needsWrite dialog with intentional tone and specificityTrain a virtual assistant classifier from the ground upCreate question-and-direct-response assistantsDesign and optimize a process flow for web and voiceTest your assistant's accuracy and plan out improvements This engaging and entertaining book delivers the essential technical and creative skills for designing successful virtual assistants, from coding process flows and training machine learning, to improving your written dialog. about the technologyVirtual assistants multiply the effectiveness of customer-facing communication. Great chatbots automate common tasks like gathering information, responding to questions, and improving product selections so human staff can work on more challenging problems. These powerful tools range from event classifiers that can act on an email message to conversational assistants that actually talk to your users! about the bookCreating Virtual Assistants is a hands-on guide to building custom virtual assistants for a wide variety of use cases. You'll dive right into developing an assistant capable of identifying top user requests and making a suitable response for each request type. Once you've got the basics, you'll master a multi-step process flow that can be easily adapted for both text and voice assistants. You'll learn how to hone your assistant by writing better dialog, training and improving its underlying machine learning, and spotting issues like abandonment and underperformance. By the time you're done, you'll be ready to deploy anything from a simple chatbot to a complex call center tool. about the readerFor software developers. Examples in Watson Assistant and in Python. about the authorAndrew R. Freed is a Master Inventor and Senior Technical Staff Member at IBM. He's the co-host of the AI Zen podcast. Andrew has extensive experience deploying high-volume virtual assistants and has been working in AI solutions since 2012. Seller Inventory # LU-9781617298837
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