This document provides an overview of chatbots, including: definitions of chatbots, the history of chatbots beginning in the 1960s, problems with current chatbot scenarios, educational and system requirements for developing chatbots, how chatbots work, types of chatbots, principles of chatbot design, data flow diagrams and ER diagrams related to chatbots, chatbot architecture, advantages and disadvantages of chatbots compared to humans, examples of successful chatbots, applications and limitations of chatbots, and conclusions. It also includes an index of topics covered and references related to chatbot design.
The document introduces chat bots, which are computer programs that can converse with humans in natural language using artificial intelligence and predefined responses. Chat bots are useful for answering queries and replacing humans for repetitive tasks. They can operate based on artificial intelligence using machine learning or follow predefined rules to structure conversations.
This document describes the development of a chatbot application using Python to answer queries about a college. It discusses the existing system of students having to visit the college in person to ask questions, and the limitations thereof. The proposed chatbot system allows students to get college information by chatting with the bot through text. The document outlines the modules, design, and functioning of the chatbot, including its ability to understand natural language queries and provide relevant answers from its database. It concludes discussing the benefits of chatbots and potential for future improvements.
The document discusses implementing chatbots using deep learning. It begins by defining what a chatbot is and listing some popular existing chatbots. It then describes two types of chatbot models - retrieval-based models which use predefined responses and generative models which continuously learn from conversations. The document focuses on implementing a retrieval-based model using the Ubuntu Dialog Corpus dataset and a dual encoder LSTM network model in TensorFlow. It outlines the preprocessing, model architecture, creating input functions, training, evaluating, and making predictions with the trained model.
Chatbots are services powered by rules and sometimes artificial intelligence that users interact with via chat interfaces. They are a big opportunity because people are using messaging apps more than social networks, so building services within messaging platforms positions them where users spend their time. Chatbots work either by following a set of predefined rules or using machine learning to be more flexible. While they seem simple, building good chatbot experiences requires overcoming challenges like analytics, optimization, and platform changes. Common steps to create a chatbot include determining its purpose, choosing a platform like Facebook Messenger or Slack, and selecting a development service to build it.
The document discusses artificial text chatting machines (chatbots). It provides an overview of chatbots, including their history starting with ELIZA from 1966. Common approaches to developing chatbots include pattern matching and using the Artificial Intelligence Markup Language (AIML). The document outlines some challenges in developing human-like intelligence for chatbots and possibilities for future work, before concluding with a demonstration.
A chatterbot (also known as a talkbot, chatbot, Bot, chatterbox, Artificial Conversational Entity) is a computer program which conducts a conversation via auditory or textual methods.
To find more about it, checkout these slides. For more info, visit our website, www.appgalleryinc.com
Daden Emerging Technology Seminars - Daden Limited is a Virtual Worlds and artificial intelligence solution provider.
Our focus is on using virtual worlds, and virtual personalities to deliver more efficient and effective enterprise systems, saving our clients money, time and carbon, and delivering better understanding and collaboration.
The document discusses chat bots and their potential future uses. It notes that apps have already created millions of jobs and bots may be the next step. Bots can perform automated tasks like answering questions or taking orders through messaging apps. Currently, people are using messaging apps more than social networks. The document outlines different types of bots including those that operate through rules-based programming and more advanced bots using machine learning that can understand language. It provides examples of potential bots and services to build bots. It concludes by recommending Cisco leverage chat bots for quick answers, analyzing Facebook messages, and developing future uses in tech support, sales, and communications between companies' bots.
An overview of some key concepts of chatbots, with some do's and don'ts.
We will happily present the high-resolution version of this presentation, extended with additional detailed slides, and a clear explanation at your offices. Contact us for that.
How do Chatbots Work? A Guide to Chatbot ArchitectureMaruti Techlabs
A chatbot is a program that can have conversations with humans without human assistance. There are two types of chatbots: rule-based chatbots that are limited to their programming, and AI-based chatbots that can understand open-ended queries using machine learning. Chatbots work through question and answering systems, natural language processing to understand context, and by adopting classification methods like pattern matching, algorithms, and artificial neural networks.
This document discusses different approaches for building chatbots, including retrieval-based and generative models. It describes recurrent neural networks like LSTMs and GRUs that are well-suited for natural language processing tasks. Word embedding techniques like Word2Vec are explained for representing words as vectors. Finally, sequence-to-sequence models using encoder-decoder architectures are presented as a promising approach for chatbots by using a context vector to generate responses.
This document provides an overview of chatbots including:
1. It defines chatbots as AI programs that simulate conversation through text or voice with humans.
2. It discusses the history of chatbots from early prototypes in the 1960s to modern implementations on platforms like Facebook Messenger.
3. It describes the main types of chatbots as flow-based, artificially intelligent, and hybrid models.
The Chatbots Are Coming: A Guide to Chatbots, AI and Conversational InterfacesTWG
2016 is the year of all things conversational. Chatbots, suddenly, are everywhere. Driven by the explosion in popularity of messaging apps like Kik, Slack and Facebook Messenger, chatbots are quickly becoming a core part of the software product mix.
So does your business need a chatbot? This deck will help you understand the massive opportunity for companies who are bold enough to start building chatbots of their own.
(Already au fait with chatbots and looking for a software team to help you with yours? Skip to slide 47 to see some of the chatbots we've built at TWG for our clients and ourselves.)
Chatbots are computer programs designed to simulate conversation with humans over the Internet. Examples include Cortana, Siri, and Eliza, the first chatbot created by Joseph Weizenbaum. Chatbots provide information quickly and efficiently for productivity or entertainment, fueling conversations to avoid loneliness. They are trained using large datasets of conversation logs to understand language and connect questions to answers. While chatbots reduce costs and can handle many users at once, they have limitations in complex conversations and understanding intent. Future chatbots may become more specialized and useful in applications like e-commerce, travel, and events.
This document outlines a project to design and develop a Sugar CRM bot using Artificial Intelligence Markup Language (AIML). The objective is to create a bot that can answer questions about Sugar CRM. It will be implemented as both a desktop and web application using programming languages like AIML, Python, and Adobe Flex. An automatic AIML generation tool will also be developed to ease the creation of AIML files. The source code for the project is available online for checkout and demonstration.
The document discusses the history and current state of mobile application development. It begins with definitions and a brief history starting from the early 1990s. It then covers major platforms and operating systems that have emerged over time like Palm OS, Java ME, Symbian, Android, iOS, BlackBerry, and Windows Phone. Current development approaches including native frameworks and non-native alternatives like PhoneGap and Titanium are also summarized. The document concludes with a discussion of emerging areas like wearable technology and devices like Google Glass and Samsung Galaxy Gear.
AI Agent and Chatbot Trends For EnterprisesTeewee Ang
This document discusses the growing trend of chatbots and artificial intelligence assistants. It notes that major tech entrepreneurs like Mark Zuckerberg and Elon Musk have expressed interest in AI. While Musk sees AI as a potential threat, Zuckerberg wants to create an AI assistant for home use. The document outlines how chatbots use technologies like natural language processing and machine learning. It provides examples of chatbots being used in applications like customer service, human resources, and scheduling. In conclusion, the document predicts that AI assistant and chatbot applications will continue growing in both enterprise and consumer spaces.
Chatbot and Virtual AI Assistant Implementation in Natural Language Processing Shrutika Oswal
In this presentation, I have given a short overview of hot recent topics of research in artificial intelligence. These topics include Gaming, Expert System, Vision System, Speech Recognition, Handwriting Recognition, Intelligent Robots, Machine Learning, Deep Learning, Robotics, Reinforcement Learning, Internet of Things, Neuromorphic Computing, Computer Vision and most important NLP (Natural language Processing). Here I have mentioned different fields and components of NLP along with the steps of implementation. In the further part of the presentation, I have described the general structure of chatbot in NLP along with its implementation algorithm in python language. Also, I have given some informative descriptions, technologies, usage, and working of virtual AI assistants along with this I implemented one virtual assistant for laptop who will able to perform some interesting tasks.
This document provides an overview of chatbots and the growing chatbot ecosystem. It discusses why natural language interfaces are important, defines what a chatbot is, explores where chatbots are being used, outlines what capabilities chatbots have, and describes the growing platform and tools available for building chatbots. It emphasizes that while building basic chatbots is easy, creating truly useful chatbots requires serious thought and work.
Chatbot technologies allow for conversational interfaces using artificial intelligence. Chatbots have evolved from simple script-based assistants to more advanced bots that can understand context, maintain histories of conversations, and collaborate with users. Chatbots work using natural language processing and databases to match user inputs with responses. They are used in messaging platforms, apps, websites, and more to provide information and services with many benefits like 24/7 availability but also challenges like limited capabilities. The future of chatbots includes more personalized and integrated experiences using artificial intelligence and connections to other technologies.
Using Machine Learning and Chatbots to handle 1st line Technical SupportBarbara Fusinska
This document discusses using machine learning and chatbots to handle first line technical support. It begins with an introduction to the speaker and agenda. It then provides an overview of what chatbots are, including definitions and examples. Common uses of chatbots for customer service and technical support are described. The typical architecture of a chatbot is outlined. Popular chatbot platforms are listed. An example use case of an "IT Crowd Answering Machine" chatbot is demonstrated. The document discusses using natural language processing and classification models to apply artificial intelligence to chatbots. It shows how this can be done using tools like LUIS and the Bot Framework. Challenges of training chatbots and correctly classifying user inputs are also mentioned.
ChatGPT is an AI assistant created by OpenAI to have natural conversations. It was trained on a large text dataset to recognize patterns and generate responses in different styles. Since its release, ChatGPT has gained over 1 million users in its first week and demonstrated abilities like answering follow-up questions, admitting mistakes, and rejecting inappropriate requests. While ChatGPT shows promise for more human-like conversations, experts note it still has limitations like potential for incorrect answers and bias issues due to limitations in its training data.
Web 3.0 refers to a proposed next stage of the World Wide Web focused on semantics and syndication. It aims to support greater user interaction and collaboration through artificial intelligence and linked data. The key aspects of Web 3.0 include linked data to integrate information from diverse sources, ubiquitous connectivity through various devices, and machine learning to automate tasks and queries. Some examples of potential Web 3.0 applications include personalized recommendations based on user behavior and automated planning of activities like movies and meals. Challenges to developing Web 3.0 include the vastness of online data and ensuring consistency, accuracy and trustworthiness of information.
What exactly is ChatGPT? ChatGPT is an open-source ChatGPT framework that allows developers to build their own ChatGPT using pre-built modules. The framework is built using NodeJS, AngularJS, ExpressJS, MongoDB, Redis, and Docker.
This document provides an overview of chatbots including:
- Defining what chatbots are and why they are important for app developers.
- Discussing different approaches for chatbots such as replacing apps, greeting users for apps/websites, and using conversation as a means or end.
- Covering best practices for conversational UX, platforms to build chatbots, and why the presenter likes the API.ai platform.
*adding English description
This slide is about the overview of a chatbot and a trend of the shift of "messenger as a platform" or "messenger as the new UI".
As Facebook unveiled that they opened their chatbot capability to the public at previous f8, a movement of chatbot (w/ AI) would be gaining traction. aligned with this, what would happen and/or what would impact on existing market.
f8を前にして、facebookの動きが色々と噂されているようだが、メッセンジャー周りの今の動きをまとめてみた。
特にbot x AIや"messenger as a platform"としての動きなど大きな流れに特化。詳細は追々やっていこうと思う。
Cognitive architecture aims to model human cognition through computational processes that account for perception, reasoning, learning, and other cognitive functions. It proposes blueprint models for intelligent agents and artificial consciousness. Key aspects of cognitive architectures include modeling multiple aspects of cognition through a unified theory, accounting for limitations in human cognition, and demonstrating robust and flexible behavior over time through learning.
The document discusses chat bots and their potential future uses. It notes that apps have already created millions of jobs and bots may be the next step. Bots can perform automated tasks like answering questions or taking orders through messaging apps. Currently, people are using messaging apps more than social networks. The document outlines different types of bots including those that operate through rules-based programming and more advanced bots using machine learning that can understand language. It provides examples of potential bots and services to build bots. It concludes by recommending Cisco leverage chat bots for quick answers, analyzing Facebook messages, and developing future uses in tech support, sales, and communications between companies' bots.
An overview of some key concepts of chatbots, with some do's and don'ts.
We will happily present the high-resolution version of this presentation, extended with additional detailed slides, and a clear explanation at your offices. Contact us for that.
How do Chatbots Work? A Guide to Chatbot ArchitectureMaruti Techlabs
A chatbot is a program that can have conversations with humans without human assistance. There are two types of chatbots: rule-based chatbots that are limited to their programming, and AI-based chatbots that can understand open-ended queries using machine learning. Chatbots work through question and answering systems, natural language processing to understand context, and by adopting classification methods like pattern matching, algorithms, and artificial neural networks.
This document discusses different approaches for building chatbots, including retrieval-based and generative models. It describes recurrent neural networks like LSTMs and GRUs that are well-suited for natural language processing tasks. Word embedding techniques like Word2Vec are explained for representing words as vectors. Finally, sequence-to-sequence models using encoder-decoder architectures are presented as a promising approach for chatbots by using a context vector to generate responses.
This document provides an overview of chatbots including:
1. It defines chatbots as AI programs that simulate conversation through text or voice with humans.
2. It discusses the history of chatbots from early prototypes in the 1960s to modern implementations on platforms like Facebook Messenger.
3. It describes the main types of chatbots as flow-based, artificially intelligent, and hybrid models.
The Chatbots Are Coming: A Guide to Chatbots, AI and Conversational InterfacesTWG
2016 is the year of all things conversational. Chatbots, suddenly, are everywhere. Driven by the explosion in popularity of messaging apps like Kik, Slack and Facebook Messenger, chatbots are quickly becoming a core part of the software product mix.
So does your business need a chatbot? This deck will help you understand the massive opportunity for companies who are bold enough to start building chatbots of their own.
(Already au fait with chatbots and looking for a software team to help you with yours? Skip to slide 47 to see some of the chatbots we've built at TWG for our clients and ourselves.)
Chatbots are computer programs designed to simulate conversation with humans over the Internet. Examples include Cortana, Siri, and Eliza, the first chatbot created by Joseph Weizenbaum. Chatbots provide information quickly and efficiently for productivity or entertainment, fueling conversations to avoid loneliness. They are trained using large datasets of conversation logs to understand language and connect questions to answers. While chatbots reduce costs and can handle many users at once, they have limitations in complex conversations and understanding intent. Future chatbots may become more specialized and useful in applications like e-commerce, travel, and events.
This document outlines a project to design and develop a Sugar CRM bot using Artificial Intelligence Markup Language (AIML). The objective is to create a bot that can answer questions about Sugar CRM. It will be implemented as both a desktop and web application using programming languages like AIML, Python, and Adobe Flex. An automatic AIML generation tool will also be developed to ease the creation of AIML files. The source code for the project is available online for checkout and demonstration.
The document discusses the history and current state of mobile application development. It begins with definitions and a brief history starting from the early 1990s. It then covers major platforms and operating systems that have emerged over time like Palm OS, Java ME, Symbian, Android, iOS, BlackBerry, and Windows Phone. Current development approaches including native frameworks and non-native alternatives like PhoneGap and Titanium are also summarized. The document concludes with a discussion of emerging areas like wearable technology and devices like Google Glass and Samsung Galaxy Gear.
AI Agent and Chatbot Trends For EnterprisesTeewee Ang
This document discusses the growing trend of chatbots and artificial intelligence assistants. It notes that major tech entrepreneurs like Mark Zuckerberg and Elon Musk have expressed interest in AI. While Musk sees AI as a potential threat, Zuckerberg wants to create an AI assistant for home use. The document outlines how chatbots use technologies like natural language processing and machine learning. It provides examples of chatbots being used in applications like customer service, human resources, and scheduling. In conclusion, the document predicts that AI assistant and chatbot applications will continue growing in both enterprise and consumer spaces.
Chatbot and Virtual AI Assistant Implementation in Natural Language Processing Shrutika Oswal
In this presentation, I have given a short overview of hot recent topics of research in artificial intelligence. These topics include Gaming, Expert System, Vision System, Speech Recognition, Handwriting Recognition, Intelligent Robots, Machine Learning, Deep Learning, Robotics, Reinforcement Learning, Internet of Things, Neuromorphic Computing, Computer Vision and most important NLP (Natural language Processing). Here I have mentioned different fields and components of NLP along with the steps of implementation. In the further part of the presentation, I have described the general structure of chatbot in NLP along with its implementation algorithm in python language. Also, I have given some informative descriptions, technologies, usage, and working of virtual AI assistants along with this I implemented one virtual assistant for laptop who will able to perform some interesting tasks.
This document provides an overview of chatbots and the growing chatbot ecosystem. It discusses why natural language interfaces are important, defines what a chatbot is, explores where chatbots are being used, outlines what capabilities chatbots have, and describes the growing platform and tools available for building chatbots. It emphasizes that while building basic chatbots is easy, creating truly useful chatbots requires serious thought and work.
Chatbot technologies allow for conversational interfaces using artificial intelligence. Chatbots have evolved from simple script-based assistants to more advanced bots that can understand context, maintain histories of conversations, and collaborate with users. Chatbots work using natural language processing and databases to match user inputs with responses. They are used in messaging platforms, apps, websites, and more to provide information and services with many benefits like 24/7 availability but also challenges like limited capabilities. The future of chatbots includes more personalized and integrated experiences using artificial intelligence and connections to other technologies.
Using Machine Learning and Chatbots to handle 1st line Technical SupportBarbara Fusinska
This document discusses using machine learning and chatbots to handle first line technical support. It begins with an introduction to the speaker and agenda. It then provides an overview of what chatbots are, including definitions and examples. Common uses of chatbots for customer service and technical support are described. The typical architecture of a chatbot is outlined. Popular chatbot platforms are listed. An example use case of an "IT Crowd Answering Machine" chatbot is demonstrated. The document discusses using natural language processing and classification models to apply artificial intelligence to chatbots. It shows how this can be done using tools like LUIS and the Bot Framework. Challenges of training chatbots and correctly classifying user inputs are also mentioned.
ChatGPT is an AI assistant created by OpenAI to have natural conversations. It was trained on a large text dataset to recognize patterns and generate responses in different styles. Since its release, ChatGPT has gained over 1 million users in its first week and demonstrated abilities like answering follow-up questions, admitting mistakes, and rejecting inappropriate requests. While ChatGPT shows promise for more human-like conversations, experts note it still has limitations like potential for incorrect answers and bias issues due to limitations in its training data.
Web 3.0 refers to a proposed next stage of the World Wide Web focused on semantics and syndication. It aims to support greater user interaction and collaboration through artificial intelligence and linked data. The key aspects of Web 3.0 include linked data to integrate information from diverse sources, ubiquitous connectivity through various devices, and machine learning to automate tasks and queries. Some examples of potential Web 3.0 applications include personalized recommendations based on user behavior and automated planning of activities like movies and meals. Challenges to developing Web 3.0 include the vastness of online data and ensuring consistency, accuracy and trustworthiness of information.
What exactly is ChatGPT? ChatGPT is an open-source ChatGPT framework that allows developers to build their own ChatGPT using pre-built modules. The framework is built using NodeJS, AngularJS, ExpressJS, MongoDB, Redis, and Docker.
This document provides an overview of chatbots including:
- Defining what chatbots are and why they are important for app developers.
- Discussing different approaches for chatbots such as replacing apps, greeting users for apps/websites, and using conversation as a means or end.
- Covering best practices for conversational UX, platforms to build chatbots, and why the presenter likes the API.ai platform.
*adding English description
This slide is about the overview of a chatbot and a trend of the shift of "messenger as a platform" or "messenger as the new UI".
As Facebook unveiled that they opened their chatbot capability to the public at previous f8, a movement of chatbot (w/ AI) would be gaining traction. aligned with this, what would happen and/or what would impact on existing market.
f8を前にして、facebookの動きが色々と噂されているようだが、メッセンジャー周りの今の動きをまとめてみた。
特にbot x AIや"messenger as a platform"としての動きなど大きな流れに特化。詳細は追々やっていこうと思う。
Cognitive architecture aims to model human cognition through computational processes that account for perception, reasoning, learning, and other cognitive functions. It proposes blueprint models for intelligent agents and artificial consciousness. Key aspects of cognitive architectures include modeling multiple aspects of cognition through a unified theory, accounting for limitations in human cognition, and demonstrating robust and flexible behavior over time through learning.
This document introduces TANGME, a travel assistant chatbot that aims to provide tourists with a single source of information for planning trips in Thailand by gathering data on attractions, restaurants, hotels, and flights and allowing users to search and book travel services. It notes Thailand's large domestic tourism numbers and that planning trips can require knowing a lot of information. The chatbot is designed to be accessible 24/7 and make trip planning and navigation easy.
Slide deck from Lisa Travel pitch at Travel Tech Conference Russia 2016 (http://traveltechcon.ru/eng)
Video: https://www.youtube.com/watch?v=mIGoSp36rwQ&list=PLbtbzN3Wmx2AWBFhx8HuuzoJoJKAFR0ZV&index=4
Quando os Chatbots se tornarem comuns, o volume de interações criará um ambiente de aprendizado fantástico para a AI sobre em que se baseiam. Ao contrário de sites e aplicativos, os Bots podem evoluir e se desenvolver, aprendendo o tempo todo. Temos que pensar em analytics primeiro para que o próprio algoritmo de aprendizado entenda o que é importante observar para evoluir. Veja o que muda no dia a dia de análises do social media e como mensurar suas ações em chatbots. Saiba priorizar o que mais importa por tipo de caso de uso. Palestra feita no Social Analytics Summit 2017 por Rafael Kiso, CMO do Grupo Focusnetworks.
Rethinking Flight Shopping With Conversational Search... With ChatbotsNearsoft
Your goal as a travel company is to be aware of how travelers search for a flight, but also when, where, and what’s truly motivating them.
According to Expedia, a typical customer searches up to 48 times before booking a flight. To provide travelers with a seamless Search experience, it’s no longer enough to display the resulting flight options.
The document discusses different types of chatbots including purposeless mimicry agents that respond based on example data, intention-based agents that identify user intents and take corresponding actions, and conversational agents that understand natural language through techniques like sequence-to-sequence models, context free grammars, and compositional semantics to determine intent. It also covers challenges like understanding ambiguous language through context and prosody rather than just words. The document provides examples and code resources for building various types of chatbots.
Este documento presenta un juego de preguntas y respuestas sobre vehículos, armas y entretenimiento, donde el jugador puede ganar un millón de dólares al responder correctamente. El jugador es presentado con 10 preguntas múltiples con 4 opciones cada una sobre temas como autos, motos, aviones, helicópteros, videojuegos y series de televisión. Al final se indica que el jugador ganó el millón de dólares al responder todas las preguntas correctamente.
Fernando mentor-sucesso-universidade-polishop-ciclo-do-sucesso-110519084826-p...Vera Rodrigues Prates
Este documento fornece orientações sobre como construir um negócio de sucesso por meio de 8 etapas: 1) convidar contatos, 2) mostrar o plano de negócios, 3) acompanhar os novos membros, 4) buscar conselhos dos líderes, 5) ensinar as outras pessoas as 8 etapas, e 6) duplicar o processo para crescer a rede de forma exponencial. O documento também discute armadilhas comuns de iniciantes e como definir metas claras.
O documento descreve a trajetória profissional de Filipe Fonseca, que atualmente trabalha com chatbots, criando soluções de automação de comunicação para empresas. Ele tem 9 anos de experiência em desenvolvimento mobile e web e é pós-graduado em Design de Interação.
Tendências para 2018 aprendidas em 271 palestras da #SMWSPEdney Souza
Este documento resume as principais tendências e tecnologias discutidas no evento RD Summit Tendências 2018, como chatbots, inteligência artificial, realidade virtual e influenciadores digitais. É fornecido conselhos sobre como as empresas podem começar a explorar essas áreas, além de links para cursos e empresas especializadas. O documento também mostra que a maioria dos participantes pretende continuar investindo nessas tecnologias em 2018.
This presentation illustrates the new trend of Bots (chatbots) from an enterprise perspective. The content covers some of the key bot platforms in the market such as Microsoft Bot Framework, Facebook Messenger, Telegram, Kik and others.
A chatbot is a program that interacts with users through chat interfaces like messaging apps. Chatbots are simple and inexpensive to develop and deploy, and allow asynchronous notifications and integration with teams. To build a chatbot, you define a grammar for commands, program actions for the bot to take, and define how it will return results to the user. Advanced features include integrating webhooks and slash commands for more capabilities. Security measures like restricting commands and using tokens are also important to implement.
This document discusses digital trends in travel and tourism, including the increasing importance of mobile, social media, virtual reality, big data and chatbots. It notes that 25% of travel companies focus on mobile optimization. Chatbots are emerging that can provide travel recommendations, book flights and hotels, and answer questions about destinations. The use of artificial intelligence and natural language processing is growing for chatbots used in travel. Personalization and location-based services are also trends in digital tourism powered by new technologies.
ITCamp 2017 - Laurent Ellerbach - Bot. You said bot? Let's build a bot then...ITCamp
Bot is a new fashion word. This session will explain you what’s a bot, what’s not a bot, how to build a bot using the Microsoft Bot Framework, how to include language recognition using LUIS.ai. The session will be illustrated by a real bot built to connect various information from my own house, garden, wine cellar and health as well as a real production Lego bot!
Bot. You said bot? Let build bot then! - Laurent EllerbachITCamp
Bot is a new fashion word. This session will explain you what’s a bot, what’s not a bot, how to build a bot using the Microsoft Bot Framework, how to include language recognition using LUIS.ai. The session will be illustrated by a real bot built to connect various information from my own house, garden, wine cellar and health as well as a real production Lego bot!
With lower budgets and staff available, chatbots may be the future of Extension support. Learn how we built our own Extension chatbot called "veggiebot" to help answer questions from the public.
Introduction to Facebook Messenger, Conversational UI & NLPSaurabh Sharma
This document provides an introduction to Facebook Messenger, conversational user interfaces (UI), and natural language processing (NLP). It discusses the launch of the Messenger Platform in 2016 and Facebook's 10-year roadmap focusing on AI. It also covers discovering and trying bots on Messenger, conversational UI, the rise of voice assistants, and developing bots using technologies like Node.js, Wit.ai, and Heroku. The key challenges with NLP and examples of errors are mentioned.
This is my presentation for Global Azure Verona 2021, where I talked about Azure Functions and how this technology can be used to process messages that come from WhatsApp in a chatbot environment.
Create a Bot with Delphi and Telegram - ITDevCon 2016Marco Breveglieri
Bots are virtual assistants and they are able to send messages and notifications, live updates and news to any user and also answering commands and do tasks. With their simplicity and ease of use, they are gaining popularity among local administrations, private companies and other business activities. In this session you will see how to use bots and create a new one from scratch with Delphi leveraging the Telegram Bot platform APIs.
Chat bots101 - practical insights on the business of botsRoy Murphy
Conversational interfaces are the future of mobile. We've put together statistics, examples and insights into bots, ai and messaging to help businesses understand the landscape better – and see where the opportunities lie.
Chat bots101 - practical insights on the business of botsBAM
This document provides an overview of bots, including what they are, why they are popular now, examples of different types of bots, and how bots work. Some key points:
- Bots are computer programs that simulate conversation with humans over messaging platforms using artificial intelligence.
- Messaging platforms like Facebook Messenger are now more popular than social media, driving demand for bots on these channels.
- Different types of bots include those for content distribution, customer service, recommendations, transactions, and automating business processes.
- Bots work by taking in user input, parsing it using AI techniques like machine learning, and generating a response using text, media, APIs or manual rules. Design principles emphasize keeping
Chatbot Revolution: Exploring Opportunities, Use Cases, & Bot DesignStefan Kojouharov
How will chatbots revolutionize our day to day lives and what does it mean?
Over the past year, chatbot have become very popular. Companies of all sizes are building bot, developers have made over 80K Bots for Messenger alone and this is just the beginning. By 2020, it is estimated that 80% of businesses will have a bot.
The past year has also been full of challenges. For one, Bots are a new Paradigm which means building a great bot is very difficult. That being said, focusing on Chatbot First use cases and see where the opportunities are can give developers and companies a huge advantage.
Once we have the right market opportunity, the right use case, then we must design it right! Unfortunately most developers are making bots the same way they made apps and websites... Chatbot and conversational Ui is a completely different animal and designing a great bot can be very hard.
Things we will explore:
1) Why are Bots a Revolution?
2) Why Bots and Why Now?
3) What does the Future Look like?
4) What are the Biggest Opportunities for Ai and Automation?
5) What are Bot Builders Building right now?
6) How to think about 'Chatbo First Use Cases' the right way.
7) Bot Design Basics
You can see this presentation live at: https://youtu.be/6zzj-v0yjBI
Learn more about chatbots at: ChatbotsLife.com
This document provides instructions for creating an iPhone app without programming skills using AppMakr. It describes AppMakr as a web-based tool that allows dragging and dropping elements to design an app interface. The instructions outline three steps: 1) filling in basic app details like name, colors and images; 2) adding functions like blogs, bookshelves from available options; and 3) publishing the app, downloading it and sharing it. The document recommends AppMakr for its simplicity compared to other options like Titanium and PhoneGap that require coding skills.
This document describes a chatbot application built using Python deep learning. The chatbot is designed to answer users' frequently asked questions using neural networks and natural language processing. It was trained on question and answer data and can respond to user questions without human assistance. The chatbot application consists of modules for registration, login, interacting with the chatbot, and logout. It uses technologies like HTML, CSS, JavaScript, Django and MySQL. Screenshots show the registration, login and chat interfaces.
This document discusses building conversational user interfaces (UIs) using chatbots. It begins with an agenda that outlines thinking about conversational UIs, chatbots and their real-world uses cases, and intelligent mobile apps. The document then provides a brief history of chatbots including ELIZA from the 1960s. It explores bot communication platforms, Microsoft offerings like the Microsoft Bot Framework, and how to build a first bot using a retrieval model and publish it to Azure. Key concepts discussed include bot connectors, bot architectures using retrieval, natural language, and deep learning approaches, dialogs, form flows, and Microsoft's Azure Bot as a Service.
Why should software industry care about NLP for Tamil language?
Venkat is a member of the "Professional Speakers Association of India" and delivers engaging talks for leading corporates and startups. To check his availability contact him through tncv.me or twitter: @venkatarangan.
This document provides an agenda for building a chatbot. It includes setting up development environments and integrating with API platforms like API.AI. The key steps are to create a Facebook app and page, enable messenger, create an API.AI agent and integrate it, and use ngrok to host the bot locally. Sample code is provided and various chatbot platforms are listed. The goal is to help attendees build their first chatbot.
My talk at Push Conference 2017, where I explained the benefits and opportunities of conversational interfaces for users and businesses – and how we as creators can make sure they're created in a way that makes sense for humans.
Modern Web 2016: Using Golang to build a smart IM Bot Evan Lin
Evan Lin presents on using Golang to build smart instant messaging bots. The key points covered include:
1. What instant messaging bots are and how they work using a webhook to an HTTPS server.
2. Why Golang is a good choice for building bots, highlighting its speed, concurrency, and tooling.
3. Steps to build bots for Line and Facebook Messenger, deploying examples to Heroku for easy hosting.
4. Using natural language processing with LUIS to build smarter bots that can understand intent and entities.
5. The future of bots interacting directly without APIs and their potential uses for customer service and businesses.
Introduction of Dialogflow with google assistant and Artificial intelligenceHarshil Barot
This document provides an introduction to Google Assistant and how it works using Dialogflow. It defines artificial intelligence and gives examples of AI, such as smart home devices, virtual assistants, and more. It then discusses what Google Assistant is, how it works by asking questions, determining context and responding audibly. Finally, it covers what Dialogflow is and how to write an agent on Dialogflow by defining the agent, creating entities, intents, testing and training the agent, and integrating it.
Intro to Chatbots using Microsoft bot framework and Azure cognitive servicesRachhek Shrestha
This slide goes through the basics of what a chatbot is and what it is not. It also gives a short introduction to the Microsoft Bot Framework and LUIS. This was presented in a talk series organized by Nepal Cloud User Group on Jan 14, 2016
AI EngineHost Review: Revolutionary USA Datacenter-Based Hosting with NVIDIA ...SOFTTECHHUB
I started my online journey with several hosting services before stumbling upon Ai EngineHost. At first, the idea of paying one fee and getting lifetime access seemed too good to pass up. The platform is built on reliable US-based servers, ensuring your projects run at high speeds and remain safe. Let me take you step by step through its benefits and features as I explain why this hosting solution is a perfect fit for digital entrepreneurs.
Semantic Cultivators : The Critical Future Role to Enable AIartmondano
By 2026, AI agents will consume 10x more enterprise data than humans, but with none of the contextual understanding that prevents catastrophic misinterpretations.
The Evolution of Meme Coins A New Era for Digital Currency ppt.pdfAbi john
Analyze the growth of meme coins from mere online jokes to potential assets in the digital economy. Explore the community, culture, and utility as they elevate themselves to a new era in cryptocurrency.
Dev Dives: Automate and orchestrate your processes with UiPath MaestroUiPathCommunity
This session is designed to equip developers with the skills needed to build mission-critical, end-to-end processes that seamlessly orchestrate agents, people, and robots.
📕 Here's what you can expect:
- Modeling: Build end-to-end processes using BPMN.
- Implementing: Integrate agentic tasks, RPA, APIs, and advanced decisioning into processes.
- Operating: Control process instances with rewind, replay, pause, and stop functions.
- Monitoring: Use dashboards and embedded analytics for real-time insights into process instances.
This webinar is a must-attend for developers looking to enhance their agentic automation skills and orchestrate robust, mission-critical processes.
👨🏫 Speaker:
Andrei Vintila, Principal Product Manager @UiPath
This session streamed live on April 29, 2025, 16:00 CET.
Check out all our upcoming Dev Dives sessions at https://community.uipath.com/dev-dives-automation-developer-2025/.
Complete Guide to Advanced Logistics Management Software in Riyadh.pdfSoftware Company
Explore the benefits and features of advanced logistics management software for businesses in Riyadh. This guide delves into the latest technologies, from real-time tracking and route optimization to warehouse management and inventory control, helping businesses streamline their logistics operations and reduce costs. Learn how implementing the right software solution can enhance efficiency, improve customer satisfaction, and provide a competitive edge in the growing logistics sector of Riyadh.
Designing Low-Latency Systems with Rust and ScyllaDB: An Architectural Deep DiveScyllaDB
Want to learn practical tips for designing systems that can scale efficiently without compromising speed?
Join us for a workshop where we’ll address these challenges head-on and explore how to architect low-latency systems using Rust. During this free interactive workshop oriented for developers, engineers, and architects, we’ll cover how Rust’s unique language features and the Tokio async runtime enable high-performance application development.
As you explore key principles of designing low-latency systems with Rust, you will learn how to:
- Create and compile a real-world app with Rust
- Connect the application to ScyllaDB (NoSQL data store)
- Negotiate tradeoffs related to data modeling and querying
- Manage and monitor the database for consistently low latencies
AI and Data Privacy in 2025: Global TrendsInData Labs
In this infographic, we explore how businesses can implement effective governance frameworks to address AI data privacy. Understanding it is crucial for developing effective strategies that ensure compliance, safeguard customer trust, and leverage AI responsibly. Equip yourself with insights that can drive informed decision-making and position your organization for success in the future of data privacy.
This infographic contains:
-AI and data privacy: Key findings
-Statistics on AI data privacy in the today’s world
-Tips on how to overcome data privacy challenges
-Benefits of AI data security investments.
Keep up-to-date on how AI is reshaping privacy standards and what this entails for both individuals and organizations.
#StandardsGoals for 2025: Standards & certification roundup - Tech Forum 2025BookNet Canada
Book industry standards are evolving rapidly. In the first part of this session, we’ll share an overview of key developments from 2024 and the early months of 2025. Then, BookNet’s resident standards expert, Tom Richardson, and CEO, Lauren Stewart, have a forward-looking conversation about what’s next.
Link to recording, transcript, and accompanying resource: https://bnctechforum.ca/sessions/standardsgoals-for-2025-standards-certification-roundup/
Presented by BookNet Canada on May 6, 2025 with support from the Department of Canadian Heritage.
Special Meetup Edition - TDX Bengaluru Meetup #52.pptxshyamraj55
We’re bringing the TDX energy to our community with 2 power-packed sessions:
🛠️ Workshop: MuleSoft for Agentforce
Explore the new version of our hands-on workshop featuring the latest Topic Center and API Catalog updates.
📄 Talk: Power Up Document Processing
Dive into smart automation with MuleSoft IDP, NLP, and Einstein AI for intelligent document workflows.
Book industry standards are evolving rapidly. In the first part of this session, we’ll share an overview of key developments from 2024 and the early months of 2025. Then, BookNet’s resident standards expert, Tom Richardson, and CEO, Lauren Stewart, have a forward-looking conversation about what’s next.
Link to recording, presentation slides, and accompanying resource: https://bnctechforum.ca/sessions/standardsgoals-for-2025-standards-certification-roundup/
Presented by BookNet Canada on May 6, 2025 with support from the Department of Canadian Heritage.
UiPath Community Berlin: Orchestrator API, Swagger, and Test Manager APIUiPathCommunity
Join this UiPath Community Berlin meetup to explore the Orchestrator API, Swagger interface, and the Test Manager API. Learn how to leverage these tools to streamline automation, enhance testing, and integrate more efficiently with UiPath. Perfect for developers, testers, and automation enthusiasts!
📕 Agenda
Welcome & Introductions
Orchestrator API Overview
Exploring the Swagger Interface
Test Manager API Highlights
Streamlining Automation & Testing with APIs (Demo)
Q&A and Open Discussion
Perfect for developers, testers, and automation enthusiasts!
👉 Join our UiPath Community Berlin chapter: https://community.uipath.com/berlin/
This session streamed live on April 29, 2025, 18:00 CET.
Check out all our upcoming UiPath Community sessions at https://community.uipath.com/events/.
Spark is a powerhouse for large datasets, but when it comes to smaller data workloads, its overhead can sometimes slow things down. What if you could achieve high performance and efficiency without the need for Spark?
At S&P Global Commodity Insights, having a complete view of global energy and commodities markets enables customers to make data-driven decisions with confidence and create long-term, sustainable value. 🌍
Explore delta-rs + CDC and how these open-source innovations power lightweight, high-performance data applications beyond Spark! 🚀
What is Model Context Protocol(MCP) - The new technology for communication bw...Vishnu Singh Chundawat
The MCP (Model Context Protocol) is a framework designed to manage context and interaction within complex systems. This SlideShare presentation will provide a detailed overview of the MCP Model, its applications, and how it plays a crucial role in improving communication and decision-making in distributed systems. We will explore the key concepts behind the protocol, including the importance of context, data management, and how this model enhances system adaptability and responsiveness. Ideal for software developers, system architects, and IT professionals, this presentation will offer valuable insights into how the MCP Model can streamline workflows, improve efficiency, and create more intuitive systems for a wide range of use cases.
HCL Nomad Web – Best Practices und Verwaltung von Multiuser-Umgebungenpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-nomad-web-best-practices-und-verwaltung-von-multiuser-umgebungen/
HCL Nomad Web wird als die nächste Generation des HCL Notes-Clients gefeiert und bietet zahlreiche Vorteile, wie die Beseitigung des Bedarfs an Paketierung, Verteilung und Installation. Nomad Web-Client-Updates werden “automatisch” im Hintergrund installiert, was den administrativen Aufwand im Vergleich zu traditionellen HCL Notes-Clients erheblich reduziert. Allerdings stellt die Fehlerbehebung in Nomad Web im Vergleich zum Notes-Client einzigartige Herausforderungen dar.
Begleiten Sie Christoph und Marc, während sie demonstrieren, wie der Fehlerbehebungsprozess in HCL Nomad Web vereinfacht werden kann, um eine reibungslose und effiziente Benutzererfahrung zu gewährleisten.
In diesem Webinar werden wir effektive Strategien zur Diagnose und Lösung häufiger Probleme in HCL Nomad Web untersuchen, einschließlich
- Zugriff auf die Konsole
- Auffinden und Interpretieren von Protokolldateien
- Zugriff auf den Datenordner im Cache des Browsers (unter Verwendung von OPFS)
- Verständnis der Unterschiede zwischen Einzel- und Mehrbenutzerszenarien
- Nutzung der Client Clocking-Funktion
TrustArc Webinar: Consumer Expectations vs Corporate Realities on Data Broker...TrustArc
Most consumers believe they’re making informed decisions about their personal data—adjusting privacy settings, blocking trackers, and opting out where they can. However, our new research reveals that while awareness is high, taking meaningful action is still lacking. On the corporate side, many organizations report strong policies for managing third-party data and consumer consent yet fall short when it comes to consistency, accountability and transparency.
This session will explore the research findings from TrustArc’s Privacy Pulse Survey, examining consumer attitudes toward personal data collection and practical suggestions for corporate practices around purchasing third-party data.
Attendees will learn:
- Consumer awareness around data brokers and what consumers are doing to limit data collection
- How businesses assess third-party vendors and their consent management operations
- Where business preparedness needs improvement
- What these trends mean for the future of privacy governance and public trust
This discussion is essential for privacy, risk, and compliance professionals who want to ground their strategies in current data and prepare for what’s next in the privacy landscape.
Artificial Intelligence is providing benefits in many areas of work within the heritage sector, from image analysis, to ideas generation, and new research tools. However, it is more critical than ever for people, with analogue intelligence, to ensure the integrity and ethical use of AI. Including real people can improve the use of AI by identifying potential biases, cross-checking results, refining workflows, and providing contextual relevance to AI-driven results.
News about the impact of AI often paints a rosy picture. In practice, there are many potential pitfalls. This presentation discusses these issues and looks at the role of analogue intelligence and analogue interfaces in providing the best results to our audiences. How do we deal with factually incorrect results? How do we get content generated that better reflects the diversity of our communities? What roles are there for physical, in-person experiences in the digital world?
HCL Nomad Web – Best Practices and Managing Multiuser Environmentspanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-nomad-web-best-practices-and-managing-multiuser-environments/
HCL Nomad Web is heralded as the next generation of the HCL Notes client, offering numerous advantages such as eliminating the need for packaging, distribution, and installation. Nomad Web client upgrades will be installed “automatically” in the background. This significantly reduces the administrative footprint compared to traditional HCL Notes clients. However, troubleshooting issues in Nomad Web present unique challenges compared to the Notes client.
Join Christoph and Marc as they demonstrate how to simplify the troubleshooting process in HCL Nomad Web, ensuring a smoother and more efficient user experience.
In this webinar, we will explore effective strategies for diagnosing and resolving common problems in HCL Nomad Web, including
- Accessing the console
- Locating and interpreting log files
- Accessing the data folder within the browser’s cache (using OPFS)
- Understand the difference between single- and multi-user scenarios
- Utilizing Client Clocking
Role of Data Annotation Services in AI-Powered ManufacturingAndrew Leo
From predictive maintenance to robotic automation, AI is driving the future of manufacturing. But without high-quality annotated data, even the smartest models fall short.
Discover how data annotation services are powering accuracy, safety, and efficiency in AI-driven manufacturing systems.
Precision in data labeling = Precision on the production floor.
2. What Is A Chatbot ?
chat robot, a computer program that simulates human conversation, or
chat, through artificial intelligence. Typically, a chat bot will communicate
with a real person.
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3. Why Chatbot ?
• Bots are a lot easier to install than mobile apps.
• Bots are easily distributed.
• Quality mobile apps are expensive to build,
maintain and deploy.
• Moving complexity to the cloud reduces a user’s
cognitive load.
http://appgalleryinc.com/
5. How to create bot in Facebookmessenger:
• First create the Facebook app at Facebook developer site.
• Select your page , you will get page access token that will be
used later.
For AI agent:
• Api.ai
• Bostify
These are the Natural Language Understanding platform.
• Call back generated by any of them , will have to submit to our
Facebook app and your bot is ready .
• To make your Messenger bot public, submit your app for
approval in the 'App Review for Messenger' section on the
Messenger page of your Facebook app.
http://appgalleryinc.com/
6. How to create the bot for telegram:
• First install the Telegram App.
• Then start chat with BotFather (it is the one bot to rule them
all) .
• Then follow a few simple steps to create a bot and receive
authorization token, we will use that token later.
• For AI Agent:
• Api.ai
• FlowXo.com
• We have to add our token to these websites for enabling AI to
our Bot.
7. Natural Language Processing
• Natural language processing (NLP) is the ability of a computer
program to understand human speech as it is spoken. NLP is a
component of artificial intelligence .
• It makes computer to perform useful tasks with the natural
languages humans use.
• Current approaches to NLP are based on machine learning
• The input and output of an NLP system can be −
• Speech
• Written Text
8. Google Home
Google Home is a voice-activated home product that allows you
and your family to get answers from Google, stream music, and
manage everyday tasks.