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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
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
Online business has been growing progressively and has become the major business platform within the past two decades. The internet bulldozed the development of new business models and innovations that substantially changed the way businesses run today. This led to a growth of advanced technologies used in online business such as data analytics, machine learning, and artificial intelligence. With higher internet connectivity and the exponential growth of mobile devices, shopping processes and behaviors were significantly affected as people are consistently connected online. Consumers can easily gain helpful product information and retail competitor information in myriad online channels. This led to a profound effect on businesses where they began to invest in new technologies and business practices that aim to align with the effects of globalization. Given the rapid technology advancements, both businesses and customers are presently experiencing an exponential upsurge in the implementation of new business processes and models. Impact of Globalization and Advanced Technologies on Online Business Models explores the ever-changing field of running an online busines and presents the current issues and challenges in online business triggered by global shifts in the online environment and technological changes. The chapters draw from a wide range of technologies used in today’s digital marketplace as well as recent development and empirical researches on online consumer behavior. As such, this book aims to contribute new dimensions in managing advancements in online business triggered by global and technology transformation. This book is ideal for executives, managers, IT consultants, practitioners, researchers, academicians, and students interested in globalization and the new technologies affecting online business models.
Build a chatbot using the Microsoft Conversational AI platform. This book will teach you, step by step, how to save time and money by including chatbots in your enterprise's strategy. You will learn how to be proficient at every phase of development, from collaboration on a chatbot in an end-to-end scenario, to the first mock-up phase, and on through to the deployment and evaluation phases. Microsoft built a cloud service ecosystem for running artificial intelligence workloads in public cloud scenarios and a robust AI platform that offers a broad range of services targeting conversational artificial intelligence solutions such as chatbots. Building a chatbot requires not just developer coding skills but special considerations, including input from business stakeholders such as domain matter experts and power users. You will learn by example how to use a great set of tools and services to bridge the gap between business and engineering. You will learn how to successfully morph business requirements into actionable IT and engineering requirements. You will learn about Bot Framework Composer, which allows power users to initiate the building of a chatbot that can then be handed over to the development team to add capabilities through code. Coverage is given to the process of sharing implementation tasks and workloads between power users, who are using a low-code or no-code approach, and developers, who are building out the enhanced features for the chatbot. What You Will Learn Understand Microsoft’s comprehensive AI ecosystem and its services and solutions Recognize which solutions and services should be applied in each business scenario Discover no-code/low-code approaches for building chatbots Develop chatbots using the conversational AI stack Align business and development for improved chatbot outcomes and reduced time-to-market Who This Book Is For Developers and power users who want to build chatbots. An understanding of the core principles of writing code (.NET or JavaScript) for modern web applications is expected.
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.
Can you tell the difference between chatting with a human or chatting with a robot? I will bet you can't. Artificial Intelligence Chatbots have surpassed the Turing Test and are interfacing with us everyday.Did you know more people will chat with a bot nearly 1,000 more often than to use your Contact form? Did you know how a chatbot can identify your prospects by psychological profiles and give them what the need to close the sale? Are you aware that chatbots can help you find errors in your web site, making your web sit 100 more "sticky", and answer your prospects questions that immediately leads to a sale?Let me show you how an A.I. Chatbot will encourage your customers to tell you how to sell to them, and increase your revenue up to 30%!Along with my background in A.I., I recently studied more than 2,000 A.I. Chatbot conversations with 22,000 interactions and discovered dozens of completely "unexpected positive consequences of having an A.I. chatbot assisting your customers on your web site.Read how easy it is to install and customize your very own A.I. Chatbot and see the positive effects for yourself!
A complete guide to build a better Chatbots Key features Concept of artificial intelligence (AI) and machine learning How AI is involved in creating chatbots What are chatbots Chatbot development Live chatting Create chatbot with technologies such as Amazon Lex, Google Dialogflow, AWS Lambda, Microsoft Bot Framework, and Azure Deploy and talk to your bot Description This book makes you familiar with the concept of the chatbot. It explains what chatbot is, how does a chatbot work, and what exactly is the need for a chatbot in today's era? It focuses on creating a bot using Amazon's Lex service and getting the bot deployed on Facebook messenger for live chatting. This book will train you on how to create a chatbot using Google's Dialogflow and test the bot in Dialogflow console. It also demonstrates how to create a custom chatbot using Microsoft's bot framework and enable the webhooks in Dialogflow and return the response from the custom bot to Dialogflow intents as a fulfilment response. What will you learn Learn the concept of chatbot Learn how chatbots and AI work hand in hand Learn the concept of machine learning in chatbots Get familiar with chatbot services such as Amazon's Lex and Google's Dialogflow Learn how to write an AWS Lambda function Learn what webhooks are Learn about Microsoft's Bot Framework Write your own custom chatbot Deploy the chatbot on Facebook Messenger, Google Assistant, and Slack Live chatting with your own chatbot Who this book is for The developers, architects, and software/technology enthusiasts who are keen to learn the cutting-edge technologies and want to get a hands-on experience on AI by creating their own custom chatbots. Organizations, small companies, service-based/product-based setups which want to learn how to create a basic chatbot on their website and on social media to get more leads and reach to the end user for their business. Students, if they are seeking something where they can create and integrate the real-time chatbots in their projects.Table of contentsSection 1: The Concept1. What are Chatbots?2. How Chatbot Works3. What is the Need for a Chatbot?4. Conversational Flow?Section 2: Creating a Chatbot Using Amazon Lex1. Amazon Lex and AWS Account2. Create Bot Using Amazon Lex3. AWS Lambda Function4. Slots5. Error Handling6. Deploy the Bot on Facebook Messenger7. Live Chatbot on FacebookSection 3: Creating a Chatbot Using Dialogflow API and Microsoft's Bot FrameworkTechnical Requirements1. Dialogflow Account2. Creating a Bot in Dialogflow3. Dialogflow Console4. Integrating the Bot with Slack5. Chatbot Using Microsoft Bot Framework6. Publishing the Bot from Visual Studio to Azure7. Register the Bot8. Dialogflow.v2 SDK9. Webhooks in Dialogflow10. Testing the Bot11. Deploy the Chatbot in Facebook Messenger12. Live Chatbot on Facebook13. Deploy the Chatbot in Slack14. Future of ChatbotsAbout the authorAkhil Mittal is two times Microsoft MVP (Most Valuable Professional) firstly awarded in 2016 continued in 2017 in Visual Studio and Technologies category, C# Corner MVP since 2013, Code Project MVP since 2014, a blogger, author and likes to write/read technical articles, blogs and books. He works as a Sr. Consultant with Magic Edtech (https://www.magicedtech.com/) which is recognized as a global leader in delivering end to end learning solutions. He has an experience of around 12 years in developing, designing, architecting enterprises level applications primarily in Microsoft Technologies. He has a diverse experience in working on cutting edge technologies that include Microsoft Stack, AI, Machine Learning and Cloud computing. Akhil is an MCP (Microsoft Certified Professional) in Web Applications and Dot Net Framework.His linkedin: linkedin.com/in/akhilmittal
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
A chatbot is expected to be capable of supporting a cohesive and coherent conversation and be knowledgeable, which makes it one of the most complex intelligent systems being designed nowadays. Designers have to learn to combine intuitive, explainable language understanding and reasoning approaches with high-performance statistical and deep learning technologies. Today, there are two popular paradigms for chatbot construction: 1. Build a bot platform with universal NLP and ML capabilities so that a bot developer for a particular enterprise, not being an expert, can populate it with training data; 2. Accumulate a huge set of training dialogue data, feed it to a deep learning network and expect the trained chatbot to automatically learn “how to chat”. Although these two approaches are reported to imitate some intelligent dialogues, both of them are unsuitable for enterprise chatbots, being unreliable and too brittle. The latter approach is based on a belief that some learning miracle will happen and a chatbot will start functioning without a thorough feature and domain engineering by an expert and interpretable dialogue management algorithms. Enterprise high-performance chatbots with extensive domain knowledge require a mix of statistical, inductive, deep machine learning and learning from the web, syntactic, semantic and discourse NLP, ontology-based reasoning and a state machine to control a dialogue. This book will provide a comprehensive source of algorithms and architectures for building chatbots for various domains based on the recent trends in computational linguistics and machine learning. The foci of this book are applications of discourse analysis in text relevant assessment, dialogue management and content generation, which help to overcome the limitations of platform-based and data driven-based approaches. Supplementary material and code is available at https://github.com/bgalitsky/relevance-based-on-parse-trees
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.