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Comprehensive Guide To Botsify


Comprehensive Guide To Botsify
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Comprehensive Guide To Botsify


Comprehensive Guide To Botsify
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-21

Comprehensive Guide To Botsify written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-21 with Computers categories.


"Comprehensive Guide to Botsify" The "Comprehensive Guide to Botsify" is the definitive resource for mastering the full capabilities of the Botsify conversational AI platform. Structured to serve architects, developers, and enterprise leaders alike, this guide delves into every facet of Botsify’s system—from its robust cloud-based architecture and intelligent natural language processing, to multi-channel orchestration and plugin-driven extensibility. The book opens with foundational insights into Botsify’s technical underpinnings, covering platform security, compliance frameworks, and scalable deployment patterns that meet rigorous enterprise demands. Moving beyond architecture, the guide provides a deep dive into advanced conversation design, ensuring readers can build, manage, and optimize rich, context-aware dialogs with persistent memory, conditional logic, A/B testing, and modular workflows. It explores seamless integrations with leading enterprise systems (CRM, ERP, and helpdesk), secure payment and authentication flows, and leverages third-party AI engines and microservices—all critical for delivering personalized, omnichannel experiences. Further chapters guide readers through custom development using plugins and scripts, automation best practices, and the deployment of sophisticated transactional and notification systems. Finally, the book addresses practical operations at scale, including analytics-driven optimization, DevOps automation, and security governance. It delineates techniques for resilient infrastructure, continuous monitoring, and global multi-bot management. The "Comprehensive Guide to Botsify" culminates with future-facing trends such as AI-enhanced bots, voice and IoT integrations, and ethical considerations in conversational AI. Whether you are building your organization’s first bot or scaling to millions of users, this is an indispensable reference for advancing your Botsify expertise with confidence and vision.



Ultimate Guide To Social Media Marketing


Ultimate Guide To Social Media Marketing
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Author : Eric Butow
language : en
Publisher: Entrepreneur Press
Release Date : 2020-08-18

Ultimate Guide To Social Media Marketing written by Eric Butow and has been published by Entrepreneur Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-18 with Business & Economics categories.


Create Focused Social Media Campaigns Tailored to Your Business Ultimate Guide to Social Media Marketing takes readers through a 360-degree perspective of social media marketing in businesses, from strategy to tactics, from organic to paid, from B2B to B2C, encompassing all of the current networks. Topics include: Why businesses need to embrace social media marketing Understanding today’s social networks from big ones like Facebook and YouTube to emerging platforms Learning how to craft your business’s social media strategy using today’s formats How to leverage images and video in your social media outreach Leveraging chat bots, paid social media, and influencer marketing Building your business social marketing team Measure your social media outreach progress and improve your performance over time



Working Machines


Working Machines
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Author : Paula Ferrai
language : en
Publisher: WeAreBrain
Release Date :

Working Machines written by Paula Ferrai and has been published by WeAreBrain this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.


Working Machines - An executive’s guide to AI and Intelligent Automation, takes a look at how the renewed vigour for the development of Artificial Intelligence and Intelligent Automation technology has begun to change how businesses operate. It provides a step-by-step guide to building your own AI and Intelligent Automation strategies and frameworks, while also giving you insight into the way it is currently being used across multiple industries. This extensive guide is brought to you by the minds behind WeAreBrain and Tur.ai, experts in the AI, RPA and business automation fields.



Building Digital Experience Platforms


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



Robots Artificial Intelligence And Service Automation In Travel Tourism And Hospitality


Robots Artificial Intelligence And Service Automation In Travel Tourism And Hospitality
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Author : Stanislav Ivanov
language : en
Publisher: Emerald Group Publishing
Release Date : 2019-10-14

Robots Artificial Intelligence And Service Automation In Travel Tourism And Hospitality written by Stanislav Ivanov and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-14 with Business & Economics categories.


Using a combination of theoretical discussion and real-world case studies, this book focuses on current and future use of RAISA technologies in the tourism economy, including examples from the hotel, restaurant, travel agency, museum, and events industries.



Deep Learning For Natural Language Processing


Deep Learning For Natural Language Processing
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Author : Palash Goyal
language : en
Publisher: Apress
Release Date : 2018-06-26

Deep Learning For Natural Language Processing written by Palash Goyal and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-26 with Computers categories.


Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models. You’ll start by covering the mathematical prerequisites and the fundamentals of deep learning and NLP with practical examples. The first three chapters of the book cover the basics of NLP, starting with word-vector representation before moving onto advanced algorithms. The final chapters focus entirely on implementation, and deal with sophisticated architectures such as RNN, LSTM, and Seq2seq, using Python tools: TensorFlow, and Keras. Deep Learning for Natural Language Processing follows a progressive approach and combines all the knowledge you have gained to build a question-answer chatbot system. This book is a good starting point for people who want to get started in deep learning for NLP. All the code presented in the book will be available in the form of IPython notebooks and scripts, which allow you to try out the examples and extend them in interesting ways. What You Will Learn Gain the fundamentals of deep learning and its mathematical prerequisites Discover deep learning frameworks in Python Develop a chatbot Implement a research paper on sentiment classification Who This Book Is For Software developers who are curious to try out deep learning with NLP.



Recent Trends And Advances In Artificial Intelligence And Internet Of Things


Recent Trends And Advances In Artificial Intelligence And Internet Of Things
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Author : Valentina E. Balas
language : en
Publisher: Springer Nature
Release Date : 2019-11-19

Recent Trends And Advances In Artificial Intelligence And Internet Of Things written by Valentina E. Balas and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-19 with Technology & Engineering categories.


This book covers all the emerging trends in artificial intelligence (AI) and the Internet of Things (IoT). The Internet of Things is a term that has been introduced in recent years to define devices that are able to connect and transfer data to other devices via the Internet. While IoT and sensors have the ability to harness large volumes of data, AI can learn patterns in the data and quickly extract insights in order to automate tasks for a variety of business benefits. Machine learning, an AI technology, brings the ability to automatically identify patterns and detect anomalies in the data that smart sensors and devices generate, and it can have significant advantages over traditional business intelligence tools for analyzing IoT data, including being able to make operational predictions up to 20 times earlier and with greater accuracy than threshold-based monitoring systems. Further, other AI technologies, such as speech recognition and computer vision can help extract insights from data that used to require human review. The powerful combination of AI and IoT technology is helping to avoid unplanned downtime, increase operating efficiency, enable new products and services, and enhance risk management.



Engineering General Intelligence Part 1


Engineering General Intelligence Part 1
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Author : Ben Goertzel
language : en
Publisher: Springer
Release Date : 2014-07-08

Engineering General Intelligence Part 1 written by Ben Goertzel and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-08 with Computers categories.


The work outlines a novel conceptual and theoretical framework for understanding Artificial General Intelligence and based on this framework outlines a practical roadmap for the development of AGI with capability at the human level and ultimately beyond.



Conversational Ai


Conversational Ai
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Author : Michael McTear
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2020-10-30

Conversational Ai written by Michael McTear and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-30 with Computers categories.


This book provides a comprehensive introduction to Conversational AI. While the idea of interacting with a computer using voice or text goes back a long way, it is only in recent years that this idea has become a reality with the emergence of digital personal assistants, smart speakers, and chatbots. Advances in AI, particularly in deep learning, along with the availability of massive computing power and vast amounts of data, have led to a new generation of dialogue systems and conversational interfaces. Current research in Conversational AI focuses mainly on the application of machine learning and statistical data-driven approaches to the development of dialogue systems. However, it is important to be aware of previous achievements in dialogue technology and to consider to what extent they might be relevant to current research and development. Three main approaches to the development of dialogue systems are reviewed: rule-based systems that are handcrafted using best practice guidelines; statistical data-driven systems based on machine learning; and neural dialogue systems based on end-to-end learning. Evaluating the performance and usability of dialogue systems has become an important topic in its own right, and a variety of evaluation metrics and frameworks are described. Finally, a number of challenges for future research are considered, including: multimodality in dialogue systems, visual dialogue; data efficient dialogue model learning; using knowledge graphs; discourse and dialogue phenomena; hybrid approaches to dialogue systems development; dialogue with social robots and in the Internet of Things; and social and ethical issues.



Mathematical Modeling And Simulation Of Systems Mods 2020


Mathematical Modeling And Simulation Of Systems Mods 2020
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Author : Serhiy Shkarlet
language : en
Publisher: Springer Nature
Release Date : 2020-08-29

Mathematical Modeling And Simulation Of Systems Mods 2020 written by Serhiy Shkarlet and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-29 with Technology & Engineering categories.


This book contains works on mathematical and simulation modeling of processes in various domains: ecology and geographic information systems, IT, industry, and project management. The development of complex multicomponent systems requires an increase in accuracy, efficiency, and adequacy while reducing the cost of their creation. The studies presented in the book are useful to specialists who are involved in the development of real events models: analog, management and decision-making models, production models, and software products. Scientists can get acquainted with the latest research in various decisions proposed by leading scholars and identify promising directions for solving complex scientific and practical problems. The chapters of this book contain the contributions presented on the 15th International Scientific-Practical Conference, MODS, June 29–July 01, 2020, Chernihiv, Ukraine.