Building An Enterprise Chatbot

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Building an Enterprise Chatbot

Abhishek Singh,Karthik Ramasubramanian,Shrey Shivam

Author : Abhishek Singh,Karthik Ramasubramanian,Shrey Shivam
Publisher : Unknown
Page : 399 pages
File Size : 43,9 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

Author : Abhishek Singh,Karthik Ramasubramanian,Shrey Shivam
Publisher : Apress
Page : 399 pages
File Size : 48,5 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.

Developing Enterprise Chatbots

Boris Galitsky

Author : Boris Galitsky
Publisher : Springer
Page : 559 pages
File Size : 43,7 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

The Definitive Guide to Conversational AI with Dialogflow and Google Cloud

Lee Boonstra

Author : Lee Boonstra
Publisher : Unknown
Page : 0 pages
File Size : 45,8 Mb
Release : 2021
Category : Electronic
ISBN : 1484270150

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The Definitive Guide to Conversational AI with Dialogflow and Google Cloud by Lee Boonstra Pdf

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.

Building Chatbots with Python

Sumit Raj

Author : Sumit Raj
Publisher : Apress
Page : 205 pages
File Size : 53,7 Mb
Release : 2018-12-12
Category : Computers
ISBN : 9781484240960

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Building Chatbots with Python by Sumit Raj Pdf

Build your own chatbot using Python and open source tools. This book begins with an introduction to chatbots where you will gain vital information on their architecture. You will then dive straight into natural language processing with the natural language toolkit (NLTK) for building a custom language processing platform for your chatbot. With this foundation, you will take a look at different natural language processing techniques so that you can choose the right one for you. The next stage is to learn to build a chatbot using the API.ai platform and define its intents and entities. During this example, you will learn to enable communication with your bot and also take a look at key points of its integration and deployment. The final chapter of Building Chatbots with Python teaches you how to build, train, and deploy your very own chatbot. Using open source libraries and machine learning techniques you will learn to predict conditions for your bot and develop a conversational agent as a web application. Finally you will deploy your chatbot on your own server with AWS. What You Will Learn Gain the basics of natural language processing using Python Collect data and train your data for the chatbot Build your chatbot from scratch as a web app Integrate your chatbots with Facebook, Slack, and Telegram Deploy chatbots on your own server Who This Book Is For Intermediate Python developers who have no idea about chatbots. Developers with basic Python programming knowledge can also take advantage of the book.

The Definitive Guide to Conversational AI with Dialogflow and Google Cloud

Lee Boonstra

Author : Lee Boonstra
Publisher : Apress
Page : 405 pages
File Size : 54,8 Mb
Release : 2021-06-25
Category : Computers
ISBN : 1484270134

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The Definitive Guide to Conversational AI with Dialogflow and Google Cloud by Lee Boonstra Pdf

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. What You Will Learn 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 Who This Book Is For Everyone interested in building chatbots for web, social media, voice assistants, or contact centers using Google’s conversational AI/cloud technology.

Empowering Organizations with Power Virtual Agents

Nicolae Tarla

Author : Nicolae Tarla
Publisher : Packt Publishing Ltd
Page : 247 pages
File Size : 54,9 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.

Conversational AI with Rasa

Xiaoquan Kong,Guan Wang,Alan Nichol

Author : Xiaoquan Kong,Guan Wang,Alan Nichol
Publisher : Packt Publishing Ltd
Page : 264 pages
File Size : 45,9 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.

Microsoft Conversational AI Platform for Developers

Stephan Bisser

Author : Stephan Bisser
Publisher : Unknown
Page : 0 pages
File Size : 55,7 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

Author : Boris Galitsky
Publisher : Springer Nature
Page : 474 pages
File Size : 51,8 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.

Build Better Chatbots

Rashid Khan,Anik Das

Author : Rashid Khan,Anik Das
Publisher : Apress
Page : 113 pages
File Size : 54,6 Mb
Release : 2017-12-13
Category : Computers
ISBN : 9781484231111

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Build Better Chatbots by Rashid Khan,Anik Das Pdf

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.

Getting Started with Chatbots

Akhil Mittal

Author : Akhil Mittal
Publisher : BPB Publications
Page : 161 pages
File Size : 55,5 Mb
Release : 2019-09-20
Category : Computers
ISBN : 9789388511896

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Getting Started with Chatbots by Akhil Mittal Pdf

A complete guide to build a better Chatbots 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 todayÕs era? It focuses on creating a bot using AmazonÕs 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 GoogleÕs Dialogflow and test the bot in Dialogflow console. It also demonstrates how to create a custom chatbot using MicrosoftÕs bot framework and enable the webhooks in Dialogflow and return the response from the custom bot to Dialogflow intents as a fulfilment response. 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 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 AmazonÕs Lex and GoogleÕs Dialogflow Learn how to write an AWS Lambda function Learn what webhooks are Learn about MicrosoftÕs 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 Contents Section 1: The Concept 1. What are Chatbots? 2. How Chatbot Works 3. What is the Need for a Chatbot? 4. Conversational Flow? Ê Section 2: Creating a Chatbot Using Amazon Lex 1. Amazon Lex and AWS Account 2. Create Bot Using Amazon Lex 3. AWS Lambda Function 4. Slots 5. Error Handling 6. Deploy the Bot on Facebook Messenger 7. Live Chatbot on Facebook Ê Section 3: Creating a Chatbot Using Dialogflow API and MicrosoftÕs Bot Framework Technical Requirements 1. Dialogflow Account 2. Creating a Bot in Dialogflow 3. Dialogflow Console 4. Integrating the Bot with Slack 5. Chatbot Using Microsoft Bot Framework 6. Publishing the Bot from Visual Studio to Azure 7. Register the Bot 8. Dialogflow.v2 SDK 9. Webhooks in Dialogflow 10. Ê Testing the Bot 11. Ê Deploy the Chatbot in Facebook Messenger 12. Ê Live Chatbot on Facebook 13. Ê Deploy the Chatbot in Slack

Building Digital Experience Platforms

Shailesh Kumar Shivakumar,Sourabhh Sethii

Author : Shailesh Kumar Shivakumar,Sourabhh Sethii
Publisher : Apress
Page : 387 pages
File Size : 40,9 Mb
Release : 2019-01-31
Category : Architecture
ISBN : 9781484243039

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Building Digital Experience Platforms by Shailesh Kumar Shivakumar,Sourabhh Sethii Pdf

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 endUnderstand best practices and proven methods for designing overall architecture, user interface and integration components, security, and infrastructureStudy real-world cases, including an elaborate digital transformation building an enterprise platform for a banking applicationKnow 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

Design and Development of Emerging Chatbot Technology

Darwish, Dina

Author : Darwish, Dina
Publisher : IGI Global
Page : 403 pages
File Size : 41,5 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.

Artificial Intelligence for Healthcare Applications and Management

Boris Galitsky,Saveli Goldberg

Author : Boris Galitsky,Saveli Goldberg
Publisher : Academic Press
Page : 550 pages
File Size : 55,6 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

Building An Enterprise Chatbot

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

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

Developing Enterprise Chatbots by Boris Galitsky Pdf

The Definitive Guide to Conversational AI with Dialogflow and Google Cloud by Lee Boonstra Pdf

Building Chatbots with Python by Sumit Raj Pdf

The Definitive Guide to Conversational AI with Dialogflow and Google Cloud by Lee Boonstra Pdf

Empowering Organizations with Power Virtual Agents by Nicolae Tarla Pdf

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

Microsoft Conversational AI Platform for Developers by Stephan Bisser Pdf

Artificial Intelligence for Customer Relationship Management by Boris Galitsky Pdf

Build Better Chatbots by Rashid Khan,Anik Das Pdf

Getting Started with Chatbots by Akhil Mittal Pdf

Building Digital Experience Platforms by Shailesh Kumar Shivakumar,Sourabhh Sethii Pdf

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

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

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