Developing Enterprise Chatbots

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Developing Enterprise Chatbots

Boris Galitsky
Developing Enterprise Chatbots Book PDF

Author : Boris Galitsky
Publisher : Springer
Page : 559 pages
File Size : 41,9 Mb
Release : 2019-04-04
Category : Computers
ISBN : 9783030042998

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Developing Enterprise Chatbots by Boris Galitsky Pdf

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

Building an Enterprise Chatbot

Abhishek Singh,Karthik Ramasubramanian,Shrey Shivam
Building an Enterprise Chatbot Book PDF

Author : Abhishek Singh,Karthik Ramasubramanian,Shrey Shivam
Publisher : Unknown
Page : 399 pages
File Size : 51,5 Mb
Release : 2019
Category : Generators (Computer programs)
ISBN : 1484250354

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Building an Enterprise Chatbot by Abhishek Singh,Karthik Ramasubramanian,Shrey Shivam Pdf

Explore the adoption of chatbots in business by focusing on the design, deployment, and continuous improvement of chatbots in a business, with a single use-case from the banking and insurance sector. This book starts by identifying the business processes in the banking and insurance industry. This involves data collection from sources such as conversations from customer service centers, online chats, emails, and other NLP sources. Youll then design the solution architecture of the chatbot. Once the architecture is framed, the author goes on to explain natural language understanding (NLU), natural language processing (NLP), and natural language generation (NLG) with examples. In the next section, youll discuss the importance of data transfers using natural language platforms, such as Dialogflow and LUIS, and see why this is a key process for chatbot development. In the final section, youll work with the RASA and Botpress frameworks. By the end of Building an Enterprise Chatbot with Python, you will be able to design and develop an enterprise-ready conversational chatbot using an open source development platform to serve the end user. You will: Identify business processes Design the solution architecture for a chatbot Integrate chatbots with internal data sources using APIs Discover the differences between natural language understanding (NLU), natural language processing (NLP), and natural language generation (NLG) Work with deployment and continuous improvement through representational learning.

Building an Enterprise Chatbot

Abhishek Singh,Karthik Ramasubramanian,Shrey Shivam
Building an Enterprise Chatbot Book PDF

Author : Abhishek Singh,Karthik Ramasubramanian,Shrey Shivam
Publisher : Apress
Page : 399 pages
File Size : 45,9 Mb
Release : 2019-09-13
Category : Computers
ISBN : 9781484250341

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Building an Enterprise Chatbot by Abhishek Singh,Karthik Ramasubramanian,Shrey Shivam Pdf

Explore the adoption of chatbots in business by focusing on the design, deployment, and continuous improvement of chatbots in a business, with a single use-case from the banking and insurance sector. This book starts by identifying the business processes in the banking and insurance industry. This involves data collection from sources such as conversations from customer service centers, online chats, emails, and other NLP sources. You’ll then design the solution architecture of the chatbot. Once the architecture is framed, the author goes on to explain natural language understanding (NLU), natural language processing (NLP), and natural language generation (NLG) with examples. In the next sections, you'll design and implement the backend framework of a typical chatbot from scratch. You will also explore some popular open-source chatbot frameworks such as Dialogflow and LUIS. The authors then explain how you can integrate various third-party services and enterprise databases with the custom chatbot framework. In the final section, you'll discuss how to deploy the custom chatbot framework on the AWS cloud. By the end of Building an Enterprise Chatbot, you will be able to design and develop an enterprise-ready conversational chatbot using an open source development platform to serve the end user. What You Will LearnIdentify business processes where chatbots could be usedFocus on building a chatbot for one industry and one use-case rather than building a ubiquitous and generic chatbot Design the solution architecture for a chatbotIntegrate chatbots with internal data sources using APIsDiscover the differences between natural language understanding (NLU), natural language processing (NLP), and natural language generation (NLG) Work with deployment and continuous improvement through representational learning Who This Book Is ForData scientists and enterprise architects who are currently looking to deploy chatbot solutions to their business.

Design and Development of Emerging Chatbot Technology

Darwish, Dina
Design and Development of Emerging Chatbot Technology Book PDF

Author : Darwish, Dina
Publisher : IGI Global
Page : 403 pages
File Size : 55,7 Mb
Release : 2024-04-09
Category : Computers
ISBN : 9798369318317

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Design and Development of Emerging Chatbot Technology by Darwish, Dina Pdf

In the field of information retrieval, the challenge lies in the speed and accuracy with which users can access relevant data. With the increasing complexity of digital interactions, the need for a solution that transcends traditional methods becomes evident. Human involvement and manual investigation are not only time-consuming but also prone to errors, hindering the seamless exchange of information in various sectors. Design and Development of Emerging Chatbot Technology emerges as a comprehensive solution to the predicament posed by traditional information retrieval methods. Focusing on the transformative power of chatbots, it delves into the intricacies of their operation, applications, and development. Designed for academic scholars across diverse disciplines, the book serves as a beacon for those seeking a deeper understanding of chatbots and their potential to revolutionize information retrieval in customer service, education, healthcare, e-commerce, and more.

Microsoft Conversational AI Platform for Developers

Stephan Bisser
Microsoft Conversational AI Platform for Developers Book PDF

Author : Stephan Bisser
Publisher : Unknown
Page : 0 pages
File Size : 45,6 Mb
Release : 2021
Category : Electronic
ISBN : 1484268385

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Microsoft Conversational AI Platform for Developers by Stephan Bisser Pdf

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 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. Stephan Bisser is a technical lead at Solvion and a Microsoft MVP for artificial intelligence. In his current role, he focuses on conversational AI, Microsoft 365, and Azure. He is passionate about the conversational AI platform and the cognitive services ecosystem. Stephan and several other MVPs founded BotBuilderCommunity and SelectedTech, community initiatives that focus on bot framework SDKs, tools, and tech topics related to Microsoft 365 and AI. .

Artificial Intelligence for Customer Relationship Management

Boris Galitsky
Artificial Intelligence for Customer Relationship Management Book PDF

Author : Boris Galitsky
Publisher : Springer Nature
Page : 474 pages
File Size : 54,7 Mb
Release : 2020-12-23
Category : Computers
ISBN : 9783030616410

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Artificial Intelligence for Customer Relationship Management by Boris Galitsky Pdf

The second volume of this research monograph describes a number of applications of Artificial Intelligence in the field of Customer Relationship Management with the focus of solving customer problems. We design a system that tries to understand the customer complaint, his mood, and what can be done to resolve an issue with the product or service. To solve a customer problem efficiently, we maintain a dialogue with the customer so that the problem can be clarified and multiple ways to fix it can be sought. We introduce dialogue management based on discourse analysis: a systematic linguistic way to handle the thought process of the author of the content to be delivered. We analyze user sentiments and personal traits to tailor dialogue management to individual customers. We also design a number of dialogue scenarios for CRM with replies following certain patterns and propose virtual and social dialogues for various modalities of communication with a customer. After we learn to detect fake content, deception and hypocrisy, we examine the domain of customer complaints. We simulate mental states, attitudes and emotions of a complainant and try to predict his behavior. Having suggested graph-based formal representations of complaint scenarios, we machine-learn them to identify the best action the customer support organization can chose to retain the complainant as a customer.

Oracle Digital Assistant

Luc Bors,Ardhendu Samajdwer,Mascha van Oosterhout
Oracle Digital Assistant Book PDF

Author : Luc Bors,Ardhendu Samajdwer,Mascha van Oosterhout
Publisher : Apress
Page : 312 pages
File Size : 40,8 Mb
Release : 2019-12-10
Category : Computers
ISBN : 9781484254226

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Oracle Digital Assistant by Luc Bors,Ardhendu Samajdwer,Mascha van Oosterhout Pdf

Use this book as an on-ramp to the development of enterprise-grade chatbots and digital assistants. It is based on real-life experience and explains everything you need to know to start building your own digital assistant (DA) using Oracle technologies. You will become familiar with the concepts involved in DA development from both a user experience and technical point of view. You will learn to create DAs using Oracle technologies, including the Oracle Digital Assistant Cloud. In the first part of the book, you will learn the basic principles of the digital assistant (AKA Chatbot) technology. You will be guided through the steps involved in designing a DA, including how to make sure that the user receives a satisfying experience when using the assistant. In the second part of the book, you will learn how to implement the digital assistant that was designed in the first part. You will begin with a basic implementation, later enhancing that implementation with agents, multi-language support, and webviews. The final part of the book adds a deep dive into custom component development with an example around sentiment analysis and speech. What You Will LearnDesign digital assistants to meet business requirements Implement a great user experience for your digital assistants Translate digital assistant design into real implementations Build multi-language support into your assistants Enhance digital assistants with webviews Create custom components to extend feature sets Who This Book Is For Designers and developers who want to implement digital assistants using Oracle technologies and the cloud platform. This book is ideal for readers new to creating digital assistants, and covers aspects of design, including user experience design, before moving into the technical implementation. Readers experienced in creating digital assistants on other platforms will find the book useful for making the transition to Oracle technologies and the Oracle Digital Assistant Cloud.

Artificial Intelligence for Healthcare Applications and Management

Boris Galitsky,Saveli Goldberg
Artificial Intelligence for Healthcare Applications and Management Book PDF

Author : Boris Galitsky,Saveli Goldberg
Publisher : Academic Press
Page : 550 pages
File Size : 49,9 Mb
Release : 2022-01-13
Category : Computers
ISBN : 9780128245224

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Artificial Intelligence for Healthcare Applications and Management by Boris Galitsky,Saveli Goldberg Pdf

Artificial Intelligence for Healthcare Applications and Management introduces application domains of various AI algorithms across healthcare management. Instead of discussing AI first and then exploring its applications in healthcare afterward, the authors attack the problems in context directly, in order to accelerate the path of an interested reader toward building industrial-strength healthcare applications. Readers will be introduced to a wide spectrum of AI applications supporting all stages of patient flow in a healthcare facility. The authors explain how AI supports patients throughout a healthcare facility, including diagnosis and treatment recommendations needed to get patients from the point of admission to the point of discharge while maintaining quality, patient safety, and patient/provider satisfaction. AI methods are expected to decrease the burden on physicians, improve the quality of patient care, and decrease overall treatment costs. Current conditions affected by COVID-19 pose new challenges for healthcare management and learning how to apply AI will be important for a broad spectrum of students and mature professionals working in medical informatics. This book focuses on predictive analytics, health text processing, data aggregation, management of patients, and other fields which have all turned out to be bottlenecks for the efficient management of coronavirus patients. Presents an in-depth exploration of how AI algorithms embedded in scheduling, prediction, automated support, personalization, and diagnostics can improve the efficiency of patient treatment Investigates explainable AI, including explainable decision support and machine learning, from limited data to back-up clinical decisions, and data analysis Offers hands-on skills to computer science and medical informatics students to aid them in designing intelligent systems for healthcare Informs a broad, multidisciplinary audience about a multitude of applications of machine learning and linguistics across various healthcare fields Introduces medical discourse analysis for a high-level representation of health texts

Conversational AI with Rasa

Xiaoquan Kong,Guan Wang,Alan Nichol
Conversational AI with Rasa Book PDF

Author : Xiaoquan Kong,Guan Wang,Alan Nichol
Publisher : Packt Publishing Ltd
Page : 264 pages
File Size : 43,5 Mb
Release : 2021-10-08
Category : Computers
ISBN : 9781801073882

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Conversational AI with Rasa by Xiaoquan Kong,Guan Wang,Alan Nichol Pdf

Create next-level AI assistants and transform how customers communicate with businesses with the power of natural language understanding and dialogue management using Rasa Key FeaturesUnderstand the architecture and put the underlying principles of the Rasa framework to practiceLearn how to quickly build different types of chatbots such as task-oriented, FAQ-like, and knowledge graph-based chatbotsExplore best practices for working with Rasa and its debugging and optimizing aspectsBook Description The Rasa framework enables developers to create industrial-strength chatbots using state-of-the-art natural language processing (NLP) and machine learning technologies quickly, all in open source. Conversational AI with Rasa starts by showing you how the two main components at the heart of Rasa work – Rasa NLU (natural language understanding) and Rasa Core. You'll then learn how to build, configure, train, and serve different types of chatbots from scratch by using the Rasa ecosystem. As you advance, you'll use form-based dialogue management, work with the response selector for chitchat and FAQ-like dialogs, make use of knowledge base actions to answer questions for dynamic queries, and much more. Furthermore, you'll understand how to customize the Rasa framework, use conversation-driven development patterns and tools to develop chatbots, explore what your bot can do, and easily fix any mistakes it makes by using interactive learning. Finally, you'll get to grips with deploying the Rasa system to a production environment with high performance and high scalability and cover best practices for building an efficient and robust chat system. By the end of this book, you'll be able to build and deploy your own chatbots using Rasa, addressing the common pain points encountered in the chatbot life cycle. What you will learnUse the response selector to handle chitchat and FAQsCreate custom actions using the Rasa SDKTrain Rasa to handle complex named entity recognitionBecome skilled at building custom components in the Rasa frameworkValidate and test dialogs end to end in RasaDevelop and refine a chatbot system by using conversation-driven deployment processingUse TensorBoard for tuning to find the best configuration optionsDebug and optimize dialogue systems based on RasaWho this book is for This book is for NLP professionals as well as machine learning and deep learning practitioners who have knowledge of natural language processing and want to build chatbots with Rasa. Anyone with beginner-level knowledge of NLP and deep learning will be able to get the most out of the book.

Empowering Organizations with Power Virtual Agents

Nicolae Tarla
Empowering Organizations with Power Virtual Agents Book PDF

Author : Nicolae Tarla
Publisher : Packt Publishing Ltd
Page : 247 pages
File Size : 54,6 Mb
Release : 2021-08-13
Category : Computers
ISBN : 9781801072229

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Empowering Organizations with Power Virtual Agents by Nicolae Tarla Pdf

Unleash the capabilities of Power Virtual Agents to provide actionable insights to your customers and employees using automated chatbot solutions Key FeaturesProvide instant customer support on your webpages using Power Virtual AgentsDiscover tips and techniques for the governance, administration, and deployment of chatbotsBuild conversational solutions for your web apps, public portals, and Teams environmentBook Description Power Virtual Agents is a set of technologies released under the Power Platform umbrella by Microsoft. It allows non-developers to create solutions to automate customer interactions and provide services using a conversational interface, thus relieving the pressure on front-line staff providing this kind of support. Empowering Organizations with Power Virtual Agents is a guide to building chatbots that can be deployed to handle front desk services without having to write code. The book takes a scenario-based approach to implementing bot services and automation to serve employees in the organization and external customers. You will uncover the features available in Power Virtual Agents for creating bots that can be integrated into an organization's public site as well as specific web pages. Next, you will understand how to build bots and integrate them within the Teams environment for internal users. As you progress, you will explore complete examples for implementing automated agents (bots) that can be deployed on sites for interacting with external customers. By the end of this Power Virtual Agents chatbot book, you will have implemented several scenarios to serve external client requests for information, created scenarios to help internal users retrieve relevant information, and processed these in an automated conversational manner. What you will learnGet to grips with Power Virtual Agents and understand the license requirement for using itDeploy bots on public websites or web pagesCreate conversational solutions for your organization using Microsoft TeamsExplore best practices for governance that are essential for implementing Power Virtual AgentsExplore different business scenarios for implementing Power Virtual AgentsUnderstand the integration between Power Virtual Agents and Microsoft Power PlatformWho this book is for This book is for organization representatives looking to automate processes, relieve the first-contact workload of their front-line agents, and provide actionable results to employees and customers. Business professionals, citizen developers, and functional consultants will also find this book helpful. Familiarity with the Modern Workplace and the Dynamics 365 family of products will be useful. Beginner-level knowledge of Power Platform and its main modules will assist with understanding the concepts covered in the book more effectively.

Proceedings of International Conference on Emerging Technologies and Intelligent Systems

Mostafa Al-Emran,Mohammed A. Al-Sharafi,Mohammed N. Al-Kabi,Khaled Shaalan
Proceedings of International Conference on Emerging Technologies and Intelligent Systems Book PDF

Author : Mostafa Al-Emran,Mohammed A. Al-Sharafi,Mohammed N. Al-Kabi,Khaled Shaalan
Publisher : Springer Nature
Page : 1024 pages
File Size : 51,7 Mb
Release : 2021-12-02
Category : Technology & Engineering
ISBN : 9783030859909

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Proceedings of International Conference on Emerging Technologies and Intelligent Systems by Mostafa Al-Emran,Mohammed A. Al-Sharafi,Mohammed N. Al-Kabi,Khaled Shaalan Pdf

This book sheds light on the emerging research trends in intelligent systems and their applications. It mainly focuses on four different themes, including Artificial Intelligence and Soft Computing, Information Security and Networking, Medical Informatics, and Advances in Information Systems. Each chapter contributes to the aforementioned themes by discussing the recent design, developments, and modifications of intelligent systems and their applications.

Designing for Digital Transformation. Co-Creating Services with Citizens and Industry

Sara Hofmann,Oliver Müller,Matti Rossi
Designing for Digital Transformation Co Creating Services with Citizens and Industry Book PDF

Author : Sara Hofmann,Oliver Müller,Matti Rossi
Publisher : Springer Nature
Page : 480 pages
File Size : 54,5 Mb
Release : 2020-12-01
Category : Computers
ISBN : 9783030648237

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Designing for Digital Transformation. Co-Creating Services with Citizens and Industry by Sara Hofmann,Oliver Müller,Matti Rossi Pdf

This book constitutes the thoroughly refereed proceedings of the 15th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2020, held in Kristiansand, Norway, in December 2020. The 28 revised full research papers included in the volume together with 7 research-in-progress papers and 9 prototype papers, were carefully reviewed and selected from 93 submissions. They are organized in the following topical sections: digital public services; data science; design principles; methodology; platforms and networks; and service science. Due to the Corona pandemic this event was held virtually.

Handbook of Research on Natural Language Processing and Smart Service Systems

Pazos-Rangel, Rodolfo Abraham,Florencia-Juarez, Rogelio,Paredes-Valverde, Mario Andrés,Rivera, Gilberto
Handbook of Research on Natural Language Processing and Smart Service Systems Book PDF

Author : Pazos-Rangel, Rodolfo Abraham,Florencia-Juarez, Rogelio,Paredes-Valverde, Mario Andrés,Rivera, Gilberto
Publisher : IGI Global
Page : 554 pages
File Size : 44,8 Mb
Release : 2020-10-02
Category : Computers
ISBN : 9781799847311

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Handbook of Research on Natural Language Processing and Smart Service Systems by Pazos-Rangel, Rodolfo Abraham,Florencia-Juarez, Rogelio,Paredes-Valverde, Mario Andrés,Rivera, Gilberto Pdf

Natural language processing (NLP) is a branch of artificial intelligence that has emerged as a prevalent method of practice for a sizeable amount of companies. NLP enables software to understand human language and process complex data that is generated within businesses. In a competitive market, leading organizations are showing an increased interest in implementing this technology to improve user experience and establish smarter decision-making methods. Research on the application of intelligent analytics is crucial for professionals and companies who wish to gain an edge on the opposition. The Handbook of Research on Natural Language Processing and Smart Service Systems is a collection of innovative research on the integration and development of intelligent software tools and their various applications within professional environments. While highlighting topics including discourse analysis, information retrieval, and advanced dialog systems, this book is ideally designed for developers, practitioners, researchers, managers, engineers, academicians, business professionals, scholars, policymakers, and students seeking current research on the improvement of competitive practices through the use of NLP and smart service systems.

Hands-On Chatbots and Conversational UI Development

Srini Janarthanam
Hands On Chatbots and Conversational UI Development Book PDF

Author : Srini Janarthanam
Publisher : Packt Publishing Ltd
Page : 383 pages
File Size : 52,9 Mb
Release : 2017-12-29
Category : Computers
ISBN : 9781788298339

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Hands-On Chatbots and Conversational UI Development by Srini Janarthanam Pdf

Build over 8 chatbots and conversational user interfaces with leading tools such as Chatfuel, Dialogflow, Microsoft Bot Framework, Twilio, Alexa Skills, and Google Actions and deploying them on channels like Facebook Messenger, Amazon Alexa and Google Home About This Book Understand the different use cases of Conversational UIs with this project-based guide Build feature-rich Chatbots and deploy them on multiple platforms Get real-world examples of voice-enabled UIs for personal and home assistance Who This Book Is For This book is for developers who are interested in creating interactive conversational UIs/Chatbots. A basic understanding of JavaScript and web APIs is required. What You Will Learn Design the flow of conversation between the user and the chatbot Create Task model chatbots for implementing tasks such as ordering food Get new toolkits and services in the chatbot ecosystem Integrate third-party information APIs to build interesting chatbots Find out how to deploy chatbots on messaging platforms Build a chatbot using MS Bot Framework See how to tweet, listen to tweets, and respond using a chatbot on Twitter Publish chatbots on Google Assistant and Amazon Alexa In Detail Conversation as an interface is the best way for machines to interact with us using the universally accepted human tool that is language. Chatbots and voice user interfaces are two flavors of conversational UIs. Chatbots are real-time, data-driven answer engines that talk in natural language and are context-aware. Voice user interfaces are driven by voice and can understand and respond to users using speech. This book covers both types of conversational UIs by leveraging APIs from multiple platforms. We'll take a project-based approach to understand how these UIs are built and the best use cases for deploying them. We'll start by building a simple messaging bot from the Facebook Messenger API to understand the basics of bot building. Then we move on to creating a Task model that can perform complex tasks such as ordering and planning events with the newly-acquired-by-Google Dialogflow and Microsoft Bot framework. We then turn to voice-enabled UIs that are capable of interacting with users using speech with Amazon Alexa and Google Home. By the end of the book, you will have created your own line of chatbots and voice UIs for multiple leading platforms. Style and approach This is a practical book, where each chapter focuses on a chatbot project. The chapters take a step-by-step approach to help you build intelligent chatbots that act as personal assistants.

Getting Started with Chatbots

Mittal Akhil
Getting Started with Chatbots Book PDF

Author : Mittal Akhil
Publisher : BPB Publications
Page : 156 pages
File Size : 45,9 Mb
Release : 2019-09-20
Category : Computers
ISBN : 9789389328141

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Getting Started with Chatbots by Mittal Akhil Pdf

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