Building An Enterprise Chatbot
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Building An Enterprise Chatbot
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Author : Abhishek Singh
language : en
Publisher: Apress
Release Date : 2019-09-13
Building An Enterprise Chatbot written by Abhishek Singh and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-13 with Computers categories.
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 Learn Identify business processes where chatbots could be used Focus 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 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 Who This Book Is ForData scientists and enterprise architects who are currently looking to deploy chatbot solutions to their business.
Developing Enterprise Chatbots
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Author : Boris Galitsky
language : en
Publisher:
Release Date : 2019
Developing Enterprise Chatbots written by Boris Galitsky and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Generators (Computer programs) categories.
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.
Conversational Ai With Rasa
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Author : Xiaoquan Kong
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-10-08
Conversational Ai With Rasa written by Xiaoquan Kong and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-08 with Computers categories.
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.
The Definitive Guide To Conversational Ai With Dialogflow And Google Cloud
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Author : Lee Boonstra
language : en
Publisher:
Release Date : 2021
The Definitive Guide To Conversational Ai With Dialogflow And Google Cloud written by Lee Boonstra and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
Build enterprise chatbots for web, social media, voice assistants, IoT, and telephony contact centers with Google's Dialogflow conversational AI technology. This book will explain how to get started with conversational AI using Google and how enterprise users can use Dialogflow as part of Google Cloud. It will cover the core concepts such as Dialogflow essentials, deploying chatbots on web and social media channels, and building voice agents including advanced tips and tricks such as intents, entities, and working with context. The Definitive Guide to Conversational AI with Dialogflow and Google Cloud also explains how to build multilingual chatbots, orchestrate sub chatbots into a bigger conversational platform, use virtual agent analytics with popular tools, such as BigQuery or Chatbase, and build voice bots. It concludes with coverage of more advanced use cases, such as building fulfillment functionality, building your own integrations, securing your chatbots, and building your own voice platform with the Dialogflow SDK and other Google Cloud machine learning APIs. After reading this book, you will understand how to build cross-channel enterprise bots with popular Google tools such as Dialogflow, Google Cloud AI, Cloud Run, Cloud Functions, and Chatbase. You will: Discover Dialogflow, Dialogflow Essentials, Dialogflow CX, and how machine learning is used Create Dialogflow projects for individuals and enterprise usage Work with Dialogflow essential concepts such as intents, entities, custom entities, system entities, composites, and how to track context Build bots quickly using prebuilt agents, small talk modules, and FAQ knowledge bases Use Dialogflow for an out-of-the-box agent review Deploy text conversational UIs for web and social media channels Build voice agents for voice assistants, phone gateways, and contact centers Create multilingual chatbots Orchestrate many sub-chatbots to build a bigger conversational platform Use chatbot analytics and test the quality of your Dialogflow agent See the new Dialogflow CX concepts, how Dialogflow CX fits in, and what's different in Dialogflow CX.
The Next New
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Author : Pranjal Sharma
language : en
Publisher: Harper Collins
Release Date : 2023-05-26
The Next New written by Pranjal Sharma and has been published by Harper Collins this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-26 with Business & Economics categories.
WELCOME TO THE FIFTH INDUSTRIAL REVOLUTION! The progression of all the industrial revolutions tells an interesting tale. While the first two had a cycle of over a hundred years each, the third reduced it to around seventy years. With the fourth industrial revolution, the world took a giant leap in connectivity. However, not many would have imagined that the fourth industrial revolution, would give way to the fifth within the next decade, paving the way for exponential technology-led transformation. As you read this, creative destruction of business models taking place across the world in every sector. From the ashes of the old are rising stunning new models. The Next New identifies and profiles the deep shifts that are fundamentally changing professional careers and revenue models in every industry-from mobility, aerospace and smart manufacturing to green energy, automation and artificial intelligence, and a whole range of disruptive technologies. Driven by emerging technologies, demand for social inclusion and the urgency of sustainable practices, a multitrillion-dollar transition is under way. Drawing on numerous interviews of business leaders and cutting-edge research findings from MarketsandMarkets, this book provides a practical roadmap to businesses as they prepare for the new ecosystem being created, in turn helping to articulate the fifth industrial revolution with greater success.
Mastering Openai For Enterprise
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Author : Sriram Subramanian
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2025-03-11
Mastering Openai For Enterprise written by Sriram Subramanian and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-11 with Computers categories.
TAGLINE Master OpenAI and Unlock the Future of AI-Powered Innovation KEY FEATURES ● In-depth exploration of OpenAI tools, models, and enterprise use cases ● Hands-on projects with extensive code samples for practical learning ● Real-world case studies with ethical AI insights and best practices DESCRIPTION OpenAI is transforming industries with cutting-edge AI models, redefining how businesses operate, innovate, and compete. Mastering OpenAI for Enterprise is your definitive guide to harnessing the power of OpenAI’s groundbreaking technologies, including GPT models, DALL·E, and more. Designed for AI engineers, developers, and business leaders, this book offers an in-depth understanding of OpenAI’s tools and their real-world applications in enterprise settings. This hands-on guide provides a structured learning path, featuring practical code samples, step-by-step implementations, and industry case studies that bridge theory with practice. Whether you're building intelligent chatbots, leveraging AI for automation, or exploring generative AI for creative solutions, this book equips you with the knowledge and skills to seamlessly integrate OpenAI into your workflows. Ethical AI development and responsible implementation are also key themes, ensuring that innovation is balanced with accountability. As AI continues to evolve at an unprecedented pace, mastering OpenAI is no longer optional—it’s essential. The future belongs to those who can effectively leverage these technologies. Don’t get left behind—equip yourself with the expertise needed to stay ahead in the AI revolution. WHAT WILL YOU LEARN ● Gain expertise in OpenAI’s models, APIs, and enterprise applications ● Build intelligent chatbots and virtual assistants using ChatGPT ● Implement ethical AI practices for responsible and fair deployment ● Optimize and deploy OpenAI models for scalable business solutions ● Analyze real-world case studies to drive AI-powered innovation ● Leverage generative AI to automate, enhance, and transform workflows WHO IS THIS BOOK FOR? This book is tailored for both beginners and experienced professionals looking to harness the power of OpenAI. Ideal for application architects, developers, AI engineers, CTOs, and technology leaders, it provides the essential knowledge and hands-on skills needed to integrate OpenAI solutions into enterprise applications effectively. TABLE OF CONTENTS 1. OpenAI Primer 2. Deep Learning, Transformers, and OpenAI Tools 3. Natural Language Processing with GPTs 4. Computer Vision with DALL-E and CLIP 5. Building Chatbots with ChatGPT 6. AI Ethics and Responsible AI 7. Deploying OpenAI Models 8. Case Studies and Best Practices Appendix. Retrieval-Augmented Generation (RAG) Index
Proceedings Of The International Workshop On Web Information And Data Management
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Author :
language : en
Publisher:
Release Date : 2002
Proceedings Of The International Workshop On Web Information And Data Management written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Database management categories.
Microsoft Conversational Ai Platform For Developers
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Author : Stephan Bisser
language : en
Publisher:
Release Date : 2021
Microsoft Conversational Ai Platform For Developers written by Stephan Bisser and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
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. .
Oracle Digital Assistant
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Author : Luc Bors
language : en
Publisher: Apress
Release Date : 2019-12-11
Oracle Digital Assistant written by Luc Bors and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-11 with Computers categories.
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 Learn Design 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.
Building Digital Experience Platforms
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Author : Shailesh Kumar Shivakumar
language : en
Publisher: Apress
Release Date : 2019-01-31
Building Digital Experience Platforms written by Shailesh Kumar Shivakumar and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-31 with Design categories.
Use digital experience platforms (DXP) to improve your development productivity and release timelines. Leverage the pre-integrated feature sets of DXPs in your organization's digital transformation journey to quickly develop a personalized, secure, and robust enterprise platform. In this book the authors examine various features of DXPs and provide rich insights into building each layer in a digital platform. Proven best practices are presented with examples for designing and building layers. A special focus is provided on security and quality attributes needed for business-critical enterprise applications. The authors cover modern and emerging digital trends such as Blockchain, IoT, containers, chatbots, artificial intelligence, and more. The book is divided into five parts related to requirements/design, development, security, infrastructure, and case study. The authors employ proven real-world methods, best practices, and security and integration techniques derived from their rich experience. An elaborate digital transformation case study for a banking application is included. What You'll Learn Develop a digital experience platform from end to end Understand best practices and proven methods for designing overall architecture, user interface and integration components, security, and infrastructure Study real-world cases, including an elaborate digital transformation building an enterprise platform for a banking application Know the open source tools and technology frameworks that can be used to build DXPs Who This Book Is For Web developers, full stack developers, digital enthusiasts, digital project managers, and architects