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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
The next step in the evolution of user interfaces is here. Chatbots let your users interact with your service in their own natural language. Use free and open source tools along with Ruby to build creative, useful, and unexpected interactions for users. Take advantage of the Lita framework's step-by-step implementation strategy to simplify bot development and testing. From novices to experts, chatbots are an area in which everyone can participate. Exercise your creativity by creating chatbot skills for communicating, information, and fun. Developers of all skill levels can craft user experiences that are natural, easy to use, and most of all, fun. Build chatbots using free, open source tools and launch them to popular chat platforms like Slack and Amazon's Alexa. Use the Ruby programming language and the Lita bot framework to unlock fun and powerful chat abilities such as sending text messages and emails, creating new meme images, driving a robot around the room, and talking out loud on a home speaker. Use frameworks available in Ruby and Node.js to get started quickly. Create simple chatbot skills that respond quickly to basic requests. Chain skills together for more complex interactions. Take advantage of test-driven development techniques to build your bots with confidence. Coordinate tasks with colleagues via bot. Connect with external APIs to provide users with data they need. Extract data information from web pages when an API isn't available. Expand your bot's reach with SMS and e-mail messaging. Deploy a chatbot to a host so users can interact with it on their schedule. Build a more responsive, easy-to-use interface for your users today. What You Need: You don't need much to get started with chatbots. A Mac or Linux computer with a recent version of Ruby is recommended. Windows users can keep up with a free virtual machine running Linux. You'll deploy your chatbots for free (or at least cheaply) on cloud hosting platforms like Heroku and Digital Ocean.
Learn best practices for building bots by focusing on the technological implementation and UX in this practical book. You will cover key topics such as setting up a development environment for creating chatbots for multiple channels (Facebook Messenger, Skype, and KiK); building a chatbot (design to implementation); integrating to IFTT (If This Then That) and IoT (Internet of Things); carrying out analytics and metrics for chatbots; and most importantly monetizing models and business sense for chatbots. Build Better Chatbots is easy to follow with code snippets provided in the book and complete code open sourced and available to download. With Facebook opening up its Messenger platform for developers, followed by Microsoft opening up Skype for development, a new channel has emerged for brands to acquire, engage, and service customers on chat with chatbots. What You Will Learn Work with the bot development life cycle Master bot UX design Integrate into the bot ecosystem Maximize the business and monetization potential for bots Who This Book Is For Developers, programmers, and hobbyists who have basic programming knowledge. The book can be used by existing chatbot developers to gain a better understanding of analytics and the business side of bots.
The Amme Talks is a conversation between poet and machine. In 2003, poet Ulf Stolterfoht and a chatbot named Amme (which means "wet nurse" in German) met in Berlin. For one week, Stolterfoht interrogated Amme: not just a chatbot, actually, but a steel-and-glass construction with a computer interface, which is connected to a glass of milk, a robotic arm that tips over the glass, and a tube that releases water, as if urinating. Stolterfoht asked Amme--the creation of artist Peter Dittmer--about the nature of authorship and the agency of language; he intended to turn the answers into an essay on poetics. While Amme replied to every question, Stolterfoht observed that the output was "highly self-reflexive, if not entirely self-referential," and impossible for him to assimilate into his writing. He'd hoped to glean something from Amme's performance of an idiosyncratic and mechanical form of human speech. Instead, he stumbled on a remarkable "second-order realism" in which words refer not to things but to themselves. In the dialogue presented in this book, Stolterfoht glimpses something other than what we understand as poetry, something apart from "solipsistic exercises" with language, something like "endlessly liberated speech"--A potential revolution in poetry mounted by a milk-spilling chatbot.
Voice user interfaces (VUIs) are becoming all the rage today. But how do you build one that people can actually converse with? Whether you’re designing a mobile app, a toy, or a device such as a home assistant, this practical book guides you through basic VUI design principles, helps you choose the right speech recognition engine, and shows you how to measure your VUI’s performance and improve upon it. Author Cathy Pearl also takes product managers, UX designers, and VUI designers into advanced design topics that will help make your VUI not just functional, but great.Understand key VUI design concepts, including command-and-control and conversational systemsDecide if you should use an avatar or other visual representation with your VUIExplore speech recognition technology and its impact on your designTake your VUI above and beyond the basic exchange of informationLearn practical ways to test your VUI application with usersMonitor your app and learn how to quickly improve performanceGet real-world examples of VUIs for home assistants, smartwatches, and car systems
From Facebook Messenger to Kik, and from Slack bots to Google Assistant, Amazon Alexa, and email bots, the new conversational apps are revolutionizing the way we interact with software. This practical guide shows you how to design and build great conversational experiences and delightful bots that help people be more productive, whether it’s for a new consumer service or an enterprise efficiency product. Ideal for designers, product managers, and entrepreneurs, this book explores what works and what doesn’t in real-world bot examples, and provides practical design patterns for your bot-building toolbox. You’ll learn how to use an effective onboarding process, outline different flows, define a bot personality, and choose the right balance of rich control and text. Explore different bot use-cases and design best practices Understand bot anatomy—such as brand and personality, conversations, advanced UI controls—and their associated design patterns Learn steps for building a Facebook Messenger consumer bot and a Slack business bot Explore the lessons learned and shared experiences of designers and entrepreneurs who have built bots Design and prototype your first bot, and experiment with user feedback
This book provides a comprehensive introduction to Conversational AI. While the idea of interacting with a computer using voice or text goes back a long way, it is only in recent years that this idea has become a reality with the emergence of digital personal assistants, smart speakers, and chatbots. Advances in AI, particularly in deep learning, along with the availability of massive computing power and vast amounts of data, have led to a new generation of dialogue systems and conversational interfaces. Current research in Conversational AI focuses mainly on the application of machine learning and statistical data-driven approaches to the development of dialogue systems. However, it is important to be aware of previous achievements in dialogue technology and to consider to what extent they might be relevant to current research and development. Three main approaches to the development of dialogue systems are reviewed: rule-based systems that are handcrafted using best practice guidelines; statistical data-driven systems based on machine learning; and neural dialogue systems based on end-to-end learning. Evaluating the performance and usability of dialogue systems has become an important topic in its own right, and a variety of evaluation metrics and frameworks are described. Finally, a number of challenges for future research are considered, including: multimodality in dialogue systems, visual dialogue; data efficient dialogue model learning; using knowledge graphs; discourse and dialogue phenomena; hybrid approaches to dialogue systems development; dialogue with social robots and in the Internet of Things; and social and ethical issues.
Welcome to the future, where you can talk with the digital things around you: voice assistants, chatbots, and more. But these interactions can be unhelpful and frustrating—sometimes even offensive or biased. Conversations with Things teaches you how to design conversations that are useful, ethical, and human–centered—because everyone deserves to be understood, especially you.
Talk Triggers is the definitive, practical guide on how to use bold operational differentiators to create customer conversations, written by best-selling authors and marketing experts Jay Baer and Daniel Lemin. Word of mouth is directly responsible for 19% of all purchases, and influences as much as 90%. Every human on earth relies on word of mouth to make buying decisions. Yet even today, fewer than 1% of companies have an actual strategy for generating these crucial customer conversations. Talk Triggers provides that strategy in a compelling, relevant, timely book that can be put into practice immediately, by any business. The key to activating customer chatter is the realization that same is lame. Nobody says "let me tell you about this perfectly adequate experience I had last night." The strategic, operational differentiator is what gives customers something to tell a story about. Companies (including the 30+ profiled in Talk Triggers) must dare to be different and exceed expectations in one or more palpable ways. That's when word of mouth becomes involuntary: the customers of these businesses simply MUST tell someone else. Talk Triggers contains: Proprietary research into why and how customers talk More than 30 detailed case studies of extraordinary results from Doubletree Hotels by Hilton and their warm cookie upon arrival, The Cheesecake Factory and their giant menu, Five Guys Burgers and their extra fries in the bag, Penn & Teller and their nightly meet and greet sessions, and a host of delightful small businesses The 4-5-6 learning system (the 4 requirements for a differentiator to be a talk trigger; the 5 types of talk triggers; and the 6-step process for creating talk triggers) Surprises in the text that are (of course) word of mouth propellants Consumers are wired to discuss what is different, and ignore what is average. Talk Triggers not only dares the reader to differentiate, it includes the precise formula for doing it. Combining compelling stories, inspirational examples, and practical how-to, Talk Triggers is the first indispensable book about word of mouth. It's a book that will create conversation about the power of conversation.