Short explanation about chatbot and the implementation of Engati chatbot on the website, along with Engati basic features. Also, the output of the implementation is told.
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.
The document discusses getting started with chatbots. It explains that there are typically 3 main types of chatbots: classification, intent, and action chatbots. Dialogflow is identified as a platform that can be used to build conversational applications by abstracting the complexities of natural language processing and machine learning. The document concludes by thanking the reader and providing contact information for the author.
Conversational interfaces and time series predictionBirger Moell
The full day workshop covers applied artificial intelligence and machine learning topics through a combination of presentations and hands-on coding exercises. The day is split into morning and afternoon sessions. The morning covers introductions to AI/ML, live coding a machine learning app, and deployment. The afternoon focuses on deep learning, natural language processing, conversational interfaces, time series prediction, and generative models. Coffee breaks are provided between sessions.
Hubot and Playbook - Oct 2016 ChatbotsAU meetupTim Kinnane
This document summarizes a presentation about chatbots and the Hubot framework. It introduces Hubot, describing it as open source, written in CoffeeScript, running on Node.js, and easy to deploy. Hubot is described as "self-contained, adaptable, listens and hears, and can communicate over HTTP/JSON." While some bots are "smart" through machine learning, Hubot and most bots are "kinda dumb" but have context and utility. The document discusses how Hubot works using regex matching, callbacks, middleware, external scripts, and task running. It also addresses common problems with chatbot packages and frameworks, and describes tools the presenter is developing called Conversation, Dynamic Conversation, and Conditioner
Introduce gathering stories technologies as user interview, questionnaires, observation & story-writing workshops.
Share some guidelines and real cases about to make good stories as size the story to the horizon & including user roles in the stories.
Short explanation about chatbot and the implementation of Engati chatbot on the website, along with Engati basic features. Also, the output of the implementation is told.
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.
The document discusses getting started with chatbots. It explains that there are typically 3 main types of chatbots: classification, intent, and action chatbots. Dialogflow is identified as a platform that can be used to build conversational applications by abstracting the complexities of natural language processing and machine learning. The document concludes by thanking the reader and providing contact information for the author.
Conversational interfaces and time series predictionBirger Moell
The full day workshop covers applied artificial intelligence and machine learning topics through a combination of presentations and hands-on coding exercises. The day is split into morning and afternoon sessions. The morning covers introductions to AI/ML, live coding a machine learning app, and deployment. The afternoon focuses on deep learning, natural language processing, conversational interfaces, time series prediction, and generative models. Coffee breaks are provided between sessions.
Hubot and Playbook - Oct 2016 ChatbotsAU meetupTim Kinnane
This document summarizes a presentation about chatbots and the Hubot framework. It introduces Hubot, describing it as open source, written in CoffeeScript, running on Node.js, and easy to deploy. Hubot is described as "self-contained, adaptable, listens and hears, and can communicate over HTTP/JSON." While some bots are "smart" through machine learning, Hubot and most bots are "kinda dumb" but have context and utility. The document discusses how Hubot works using regex matching, callbacks, middleware, external scripts, and task running. It also addresses common problems with chatbot packages and frameworks, and describes tools the presenter is developing called Conversation, Dynamic Conversation, and Conditioner
Introduce gathering stories technologies as user interview, questionnaires, observation & story-writing workshops.
Share some guidelines and real cases about to make good stories as size the story to the horizon & including user roles in the stories.
Сергей Поплавский "DeepDive в Bot платформу Microsoft. Технические аспекты ра...Fwdays
Microsoft весной прошлого года представил фреймворк для легкого создания ботов Bot Framework. Платформа представляет собой набор инструментов, с помощью которой любой желающий может создать собственного бота-собеседника. Это открывает новые возможности для создания индустриальных и потребительских приложений, работающих на базе чат платформ.
В ходе данного доклада мы пройдем всю цепочку создания ботов:
- UX в ботах. Советы и примеры
- Проектирование бэкенда
- Подключение клиентов (Skype, Telegram)
- Использование когнитивных сервисов
- Создание голосовых ботов
- Приемы создания ботов для внутреннего использования организациями
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.
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.
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 discusses chatbots and lessons learned from building them. It defines a chatbot as a computer program that simulates conversation. While the first chatbot called Eliza was created in 1966, there are now over 200,000 chatbots available. Messaging platforms are growing in popularity and chatbots can take advantage of this by providing scalable customer interactions. The document outlines typical chatbot architecture and ways to test chatbots. It also provides examples of useful chatbot applications and important lessons like not pretending to be human and expecting unpredictable user behavior.
The document outlines a proposed framework for improving the usability of chatbots. It discusses existing chatbot systems that primarily use text for input and output. The proposed system would add features like text-to-speech and speech-to-text to allow more natural human-chatbot interaction. It would also expand datasets to improve the ability to respond to a wide variety of user queries using techniques like natural language processing. The proposed framework aims to create more human-like and engaging chatbot experiences.
The document discusses the opportunities presented by bots, including high demand from companies, the ability to create more natural experiences for users on messaging apps, and simpler deployment and updating than traditional apps. It provides an overview of the typical architecture of a bot, including components like the Bot Builder SDK, LUIS, and the Developer Portal. Several use cases for bots are presented, such as managing cloud resources from Skype, handling customer service, and acting as knowledgeable assistants. Guidelines for creating effective bots focus on solving users' needs with minimal effort and guiding users to discover what the bot can do.
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.
How to Use Chatbots in Product by Boomtown Product LeaderProduct School
Learn about the current 'must-haves' for chatbot UI/UX design and some of the critical mistakes to avoid. Humorous examples of chatbot failures and lessons learned from user adoption struggles are also shared.
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.
At its core, the conversational experience is an easy-back-and forth with a customer on a specific channel such as chat or voice.
But this isn't enough to understand how it works and what is its importance in the current scenario. Know more about it with this small presentation.
To build your own chatbot or virtual assistant contact us today at - https://bit.ly/2GzL2Nk
This paper discusses the use of instant messaging (IM) as a communication tool during usability studies � primarily between the interview and observation rooms. The benefits and challenges associated with providing an IM link are discussed, based on feedback from a survey of study moderators and observers. Observers were much more positive about the use of IM than the moderators. A key concern to moderators was the potential distraction to themselves, participants and observers. In contrast, observers greatly welcomed the opportunity to ask questions and help deal with buggy prototypes. Guidelines are outlined for the effective use of IM within a usability context, and contexts outlined when an IM link is most appropriate.
Yikes...It Looks Like That?! - UI Worst PracticesBruce Elgort
The document provides examples of poor user interface design practices in applications. It discusses user interfaces that make data entry difficult by not properly handling formatting, provide unclear error messages that do not explain the problem or suggest solutions, use interface elements like radio buttons incorrectly, reuse components without ensuring they fit the context, use excessive and clashing colors, include too many tabs, show non-functional interface elements, are not designed for printing, integrate disparate programs in incoherent ways, and do not provide clear instructions for "magic" functions. The document emphasizes that applications must prioritize good user experience and learn from past mistakes.
Chatbot is a program that can conduct an intelligent conversation. It should be able to convincingly simulate a human behavior and pass the Turing test.
In this series, we will learn how to build a chatbot from scratch, connect it with external API to pull data and deploy it on Slack as a bot.
The Software Challenges of Building Smart Chatbots - ICSE'21Jordi Cabot
Chatbots are popular solutions assisting humans in multiple fields, such as customer support or e-learning. However, building such applications has become a complex task requiring a high-level of expertise in a variety of technical domains. Chatbots need to integrate (AI-based) NLU components, but also connect to internal/external services, deploy on various platforms, etc.
The briefing will first cover the current landscape of chatbot frameworks. Then, we’ll get our hands dirty and create a few bots of increasing difficulty playing with aspects like entity recognition, sentiment analysis, event processing, or testing. By the end of the session, attendees will have all the keys to understand the main steps and obstacles to building a good chatbot.
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.
rohit sharma - dev ops virtual assistant - automate devops stuffs using nlp a...Dariia Seimova
Stanley was a sysadmin who was bored with repetitive tasks. He adopted DevOps practices like automation but still had to manually trigger commands. He then started using ChatOps through Slack but still had to send commands. Finally, he developed VoiceOps to automate tasks through voice assistants like Google Assistant. This allows even non-technical executives to get answers by speaking naturally. Some tasks he automated include fetching server lists, checking statuses and uptime, executing jobs, and restarting services. The solution uses APIs, scripts, and integrates automation with NLP chatbots. This provides benefits like speed, natural language, context, and frictionless use.
A study states that people are now spending more time in messaging apps than social networking applications. Messaging apps are in trend and chatbots are the future. Learn everything about the chatbots from history to types to working, right here.
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
Maximize Your Content with Beautiful Assets : Content & Asset for Landing Page pmgdscunsri
Figma is a cloud-based design tool widely used by designers for prototyping, UI/UX design, and real-time collaboration. With features such as precision pen tools, grid system, and reusable components, Figma makes it easy for teams to work together on design projects. Its flexibility and accessibility make Figma a top choice in the digital age.
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Сергей Поплавский "DeepDive в Bot платформу Microsoft. Технические аспекты ра...Fwdays
Microsoft весной прошлого года представил фреймворк для легкого создания ботов Bot Framework. Платформа представляет собой набор инструментов, с помощью которой любой желающий может создать собственного бота-собеседника. Это открывает новые возможности для создания индустриальных и потребительских приложений, работающих на базе чат платформ.
В ходе данного доклада мы пройдем всю цепочку создания ботов:
- UX в ботах. Советы и примеры
- Проектирование бэкенда
- Подключение клиентов (Skype, Telegram)
- Использование когнитивных сервисов
- Создание голосовых ботов
- Приемы создания ботов для внутреннего использования организациями
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.
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.
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 discusses chatbots and lessons learned from building them. It defines a chatbot as a computer program that simulates conversation. While the first chatbot called Eliza was created in 1966, there are now over 200,000 chatbots available. Messaging platforms are growing in popularity and chatbots can take advantage of this by providing scalable customer interactions. The document outlines typical chatbot architecture and ways to test chatbots. It also provides examples of useful chatbot applications and important lessons like not pretending to be human and expecting unpredictable user behavior.
The document outlines a proposed framework for improving the usability of chatbots. It discusses existing chatbot systems that primarily use text for input and output. The proposed system would add features like text-to-speech and speech-to-text to allow more natural human-chatbot interaction. It would also expand datasets to improve the ability to respond to a wide variety of user queries using techniques like natural language processing. The proposed framework aims to create more human-like and engaging chatbot experiences.
The document discusses the opportunities presented by bots, including high demand from companies, the ability to create more natural experiences for users on messaging apps, and simpler deployment and updating than traditional apps. It provides an overview of the typical architecture of a bot, including components like the Bot Builder SDK, LUIS, and the Developer Portal. Several use cases for bots are presented, such as managing cloud resources from Skype, handling customer service, and acting as knowledgeable assistants. Guidelines for creating effective bots focus on solving users' needs with minimal effort and guiding users to discover what the bot can do.
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.
How to Use Chatbots in Product by Boomtown Product LeaderProduct School
Learn about the current 'must-haves' for chatbot UI/UX design and some of the critical mistakes to avoid. Humorous examples of chatbot failures and lessons learned from user adoption struggles are also shared.
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.
At its core, the conversational experience is an easy-back-and forth with a customer on a specific channel such as chat or voice.
But this isn't enough to understand how it works and what is its importance in the current scenario. Know more about it with this small presentation.
To build your own chatbot or virtual assistant contact us today at - https://bit.ly/2GzL2Nk
This paper discusses the use of instant messaging (IM) as a communication tool during usability studies � primarily between the interview and observation rooms. The benefits and challenges associated with providing an IM link are discussed, based on feedback from a survey of study moderators and observers. Observers were much more positive about the use of IM than the moderators. A key concern to moderators was the potential distraction to themselves, participants and observers. In contrast, observers greatly welcomed the opportunity to ask questions and help deal with buggy prototypes. Guidelines are outlined for the effective use of IM within a usability context, and contexts outlined when an IM link is most appropriate.
Yikes...It Looks Like That?! - UI Worst PracticesBruce Elgort
The document provides examples of poor user interface design practices in applications. It discusses user interfaces that make data entry difficult by not properly handling formatting, provide unclear error messages that do not explain the problem or suggest solutions, use interface elements like radio buttons incorrectly, reuse components without ensuring they fit the context, use excessive and clashing colors, include too many tabs, show non-functional interface elements, are not designed for printing, integrate disparate programs in incoherent ways, and do not provide clear instructions for "magic" functions. The document emphasizes that applications must prioritize good user experience and learn from past mistakes.
Chatbot is a program that can conduct an intelligent conversation. It should be able to convincingly simulate a human behavior and pass the Turing test.
In this series, we will learn how to build a chatbot from scratch, connect it with external API to pull data and deploy it on Slack as a bot.
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Chatbots are popular solutions assisting humans in multiple fields, such as customer support or e-learning. However, building such applications has become a complex task requiring a high-level of expertise in a variety of technical domains. Chatbots need to integrate (AI-based) NLU components, but also connect to internal/external services, deploy on various platforms, etc.
The briefing will first cover the current landscape of chatbot frameworks. Then, we’ll get our hands dirty and create a few bots of increasing difficulty playing with aspects like entity recognition, sentiment analysis, event processing, or testing. By the end of the session, attendees will have all the keys to understand the main steps and obstacles to building a good chatbot.
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.
rohit sharma - dev ops virtual assistant - automate devops stuffs using nlp a...Dariia Seimova
Stanley was a sysadmin who was bored with repetitive tasks. He adopted DevOps practices like automation but still had to manually trigger commands. He then started using ChatOps through Slack but still had to send commands. Finally, he developed VoiceOps to automate tasks through voice assistants like Google Assistant. This allows even non-technical executives to get answers by speaking naturally. Some tasks he automated include fetching server lists, checking statuses and uptime, executing jobs, and restarting services. The solution uses APIs, scripts, and integrates automation with NLP chatbots. This provides benefits like speed, natural language, context, and frictionless use.
A study states that people are now spending more time in messaging apps than social networking applications. Messaging apps are in trend and chatbots are the future. Learn everything about the chatbots from history to types to working, right here.
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Architectural and constructions management experience since 2003 including 18 years located in UAE.
Coordinate and oversee all technical activities relating to architectural and construction projects,
including directing the design team, reviewing drafts and computer models, and approving design
changes.
Organize and typically develop, and review building plans, ensuring that a project meets all safety and
environmental standards.
Prepare feasibility studies, construction contracts, and tender documents with specifications and
tender analyses.
Consulting with clients, work on formulating equipment and labor cost estimates, ensuring a project
meets environmental, safety, structural, zoning, and aesthetic standards.
Monitoring the progress of a project to assess whether or not it is in compliance with building plans
and project deadlines.
Attention to detail, exceptional time management, and strong problem-solving and communication
skills are required for this role.
EASY TUTORIAL OF HOW TO USE CAPCUT BY: FEBLESS HERNANEFebless Hernane
CapCut is an easy-to-use video editing app perfect for beginners. To start, download and open CapCut on your phone. Tap "New Project" and select the videos or photos you want to edit. You can trim clips by dragging the edges, add text by tapping "Text," and include music by selecting "Audio." Enhance your video with filters and effects from the "Effects" menu. When you're happy with your video, tap the export button to save and share it. CapCut makes video editing simple and fun for everyone!
Decormart Studio is widely recognized as one of the best interior designers in Bangalore, known for their exceptional design expertise and ability to create stunning, functional spaces. With a strong focus on client preferences and timely project delivery, Decormart Studio has built a solid reputation for their innovative and personalized approach to interior design.
2. Subot
Hey team! It’s MTG today..Begin within 15 minutes⏰
Please fill in the challenge to the sheet "
http://xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
1:50 PM
Title
Challenge
Docs URL
jackson
Already finished#
1:50 PM
emma
So had put the numeric data, please keep a look lightly!
1:51 PM
liam
Sorry. I delayed 5 minutes to the meeting..
1:54 PM
subot
slackbot
DIRECT MESSAGES
# corp
# general
# developers
# sales
# marketing
# random
CHANNELS
YourTeam
Schedule message slack bot
27. 3.
The activation-flow has been redesigned
Before After
owner Subot
Activate
Team member
Invite mail
owner Subot
Activate
Team member
Invite mail
! ! ! ! ! ! ! !
spam..?spam..?
29. 3.
Return the reaction expressive
Before After
Hmm..
🙄🙄🙄
So what?
Hello😉
Oh, give me a break! 😁
What did you say? 😯
30. 3.
Change the feedback command to CS tool
Before After
Shared feedback to Subot s team
Thank you very match!
😩 one-way
😩 Difficult to feedback
Feedback has increased
43. 4.
It’s possible to provide a service using an
existing chat tool It’s one of the only interface
No learning cost of UI It depends on the text
It’s possible to prompt the user behavior to
interactive
It can not be flexible behavior such as
human
Always, move to the rule and learning as Command input is difficult
It’s rich notification than the app push
notification
It's a position of neutrality as a third party
It’s possible to communicate“1:n”
ConsPros👍 💦
45. 5.
It’s possible to provide a service using an
existing chat tool It’s one of the only interface
No learning cost of UI It depends on the text
It’s possible to prompt the user behavior to
interactive
It can not be flexible behavior such as
human
Always, move to the rule and learning as Command input is difficult
It’s rich notification than the app push
notification
It's a position of neutrality as a third party
It’s possible to communicate“1:n”
ConsPros👍 💦
46. ConsPros👍 💦
5.
It’s possible to provide a service using an
existing chat tool It’s one of the only interface
No learning cost of UI It depends on the text
It’s possible to prompt the user behavior to
interactive
It can not be flexible behavior such as
human
Always, move to the rule and learning as Command input is difficult
It’s rich notification than the app push
notification
It's a position of neutrality as a third party
It’s possible to communicate“1:n”
It’s possible to prompt the user behavior to interactive
Always, move to the rule and learning as
It’s possible to communicate“1:n”
👍
👍
👍
47. 5.
Bot as the best front-end to
the automation of the work