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.
How do Chatbots Work? A Guide to Chatbot ArchitectureMaruti Techlabs
We’d all agree that chatbots have been around for some time now. The initial apprehension that people had towards the usability of chatbots has faded away. Chatbots have become more of a necessity now for companies big and small to scale their customer support and automate lead generation.
According to a Facebook survey, more than 50% of consumers choose to buy from a company they can contact via chat. Chatbots are rapidly gaining popularity with both brands and consumers due to their ease of use and reduced wait times.
Intelligent chatbots are already able to understand users’ questions from a given context and react appropriately. Combining immediate response and round-the-clock connectivity makes them an enticing way for brands to connect with their customers.
A chatbot can be defined as a developed program capable of having a discussion/conversation with a human. Any user might, for example, ask the bot a question or make a statement, and the bot would answer or perform an action as necessary. A chatbot communicates similarly to instant messaging.
Bots are made for a specific reason. A store would most likely want chatbot services that assists you in placing an order, while a telecom company will want to create a bot that can address customer service questions.
There are two categories of chatbots: one that works by following a series of rules, and another that uses artificial intelligence.
Chatbot architecture is the spine of the chatbot. The type of architecture for your chatbot depends on various factors like use-case, domain, chatbot type, etc. However, the basic conversation flow remains the same. Let us learn more about the critical components of chatbot architecture.
Here is the link for the entire article: https://marutitech.com/chatbots-work-guide-chatbot-architecture/
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.
How do Chatbots Work? A Guide to Chatbot ArchitectureMaruti Techlabs
We’d all agree that chatbots have been around for some time now. The initial apprehension that people had towards the usability of chatbots has faded away. Chatbots have become more of a necessity now for companies big and small to scale their customer support and automate lead generation.
According to a Facebook survey, more than 50% of consumers choose to buy from a company they can contact via chat. Chatbots are rapidly gaining popularity with both brands and consumers due to their ease of use and reduced wait times.
Intelligent chatbots are already able to understand users’ questions from a given context and react appropriately. Combining immediate response and round-the-clock connectivity makes them an enticing way for brands to connect with their customers.
A chatbot can be defined as a developed program capable of having a discussion/conversation with a human. Any user might, for example, ask the bot a question or make a statement, and the bot would answer or perform an action as necessary. A chatbot communicates similarly to instant messaging.
Bots are made for a specific reason. A store would most likely want chatbot services that assists you in placing an order, while a telecom company will want to create a bot that can address customer service questions.
There are two categories of chatbots: one that works by following a series of rules, and another that uses artificial intelligence.
Chatbot architecture is the spine of the chatbot. The type of architecture for your chatbot depends on various factors like use-case, domain, chatbot type, etc. However, the basic conversation flow remains the same. Let us learn more about the critical components of chatbot architecture.
Here is the link for the entire article: https://marutitech.com/chatbots-work-guide-chatbot-architecture/
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.
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
As a data science Intern at Leapcheck Services private limited, I have developed a naive chatbot using sequence to sequence model by LSTM of RNN. Sharing the tutorial which I made explicitly for the deep learning enthusiasts to
provide them a basic insight on how chatbot can be developed with the help of recurrent neural network.
A.I based chatbot on healthcare and medical sciencePrashant Gupta
Hello friends , I am Prashant Gupta . I created a presentation on artificial intelligence based chatbot on healthcare and medical science . In this presentation i include all necessary points related chatbot .
If you like this presentation then please press like button, comment your feedback and share .
Thank you
chat bots are the future of communication.pptxJIMSVKII
Gaurav Gogia student of
BVJMM 2nd Semester of #JIMSVKII has shared about the chat bots are the future of communication.
For More Query Call us on 09990474829, 011 61199191
Visit us at https://www.jimssouthdelhi.com/
Follow us on:
Facebook: https://www.facebook.com/JIMSVASANTKUNJII/
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Blog: https://jimssouthdelhi.com/blog/
Linked In: https://www.linkedin.com/in/jims-vasant-kunj-38785a85/
Most of the sport management system is having problems like offline
registration, manage single tournament, manage statistics etc. To overcome all these
problems we are proposing the system STMS (Sport Tournament Management System)
with utilities like different tournament registration, automatic or manually match
scheduling, statistics for tournament, notification as reminder, maintaining log. In our
proposed system tournament owner will register in system and create new tournament.
Player can also register team member and player profile. Then System will schedule
the matches of the tournament. System will provide automatic or manual scheduling
Facility.System will provide a utility like notification as a reminder to the player before
match. It will avoid duplication of tournament for a player, team and game
Will your intranet be replaced with a (chat) bot?Thomas Maeder
1. Types of bots and basic understandingof machine learning / AI.
2. What can a (chat) bot do for usin internal communications and process automation?
3. How to start a (chat) bot project?Short case study of the Swisscom intranet chat bot proof of concept.
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.
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
As a data science Intern at Leapcheck Services private limited, I have developed a naive chatbot using sequence to sequence model by LSTM of RNN. Sharing the tutorial which I made explicitly for the deep learning enthusiasts to
provide them a basic insight on how chatbot can be developed with the help of recurrent neural network.
A.I based chatbot on healthcare and medical sciencePrashant Gupta
Hello friends , I am Prashant Gupta . I created a presentation on artificial intelligence based chatbot on healthcare and medical science . In this presentation i include all necessary points related chatbot .
If you like this presentation then please press like button, comment your feedback and share .
Thank you
chat bots are the future of communication.pptxJIMSVKII
Gaurav Gogia student of
BVJMM 2nd Semester of #JIMSVKII has shared about the chat bots are the future of communication.
For More Query Call us on 09990474829, 011 61199191
Visit us at https://www.jimssouthdelhi.com/
Follow us on:
Facebook: https://www.facebook.com/JIMSVASANTKUNJII/
Twitter: https://twitter.com/jimsljptweets
Instagram : : https://www.instagram.com/jims_vk2/?hl=en
YouTube : https://www.youtube.com/channel/UCZgioa2rpculDY7bHlljD6g
Blog: https://jimssouthdelhi.com/blog/
Linked In: https://www.linkedin.com/in/jims-vasant-kunj-38785a85/
Most of the sport management system is having problems like offline
registration, manage single tournament, manage statistics etc. To overcome all these
problems we are proposing the system STMS (Sport Tournament Management System)
with utilities like different tournament registration, automatic or manually match
scheduling, statistics for tournament, notification as reminder, maintaining log. In our
proposed system tournament owner will register in system and create new tournament.
Player can also register team member and player profile. Then System will schedule
the matches of the tournament. System will provide automatic or manual scheduling
Facility.System will provide a utility like notification as a reminder to the player before
match. It will avoid duplication of tournament for a player, team and game
Will your intranet be replaced with a (chat) bot?Thomas Maeder
1. Types of bots and basic understandingof machine learning / AI.
2. What can a (chat) bot do for usin internal communications and process automation?
3. How to start a (chat) bot project?Short case study of the Swisscom intranet chat bot proof of concept.
Swapan Rajdev Keynote at Bots-up Meetup, BangaloreShubham Bagri
The chatbot space has seen exponential growth in the past few years and is predicted to have an approximate growth of $3 billion by 2021. While chatbots are the current buzz and technologies such as artificial intelligence and machine learning are evolving at a breakneck speed, there are so many questions that are still unanswered questions about this space:
How do you build a great chatbot? How to scale your bot? What are the best frameworks used for chatbot development? How do bot builders overcome some of the challenges that come with it?
Here is a presentation by the CTO of Haptik, one of the world's largest conversational AI platform which answers most of the questions related to building a great & scalable chatbot.
Teams Nation 2024 - #Copilot & Teams or Just Premium.pptxKai Stenberg
This the presentation MVP Knut Relbe-Moe and I hold yesterday (21.02.24) at TeamsNation 2024.
In this session we spoke about M365 Copilot or Teams Premium. What do you need or do you sometime need both? Well this you learn from here.
Bots represent a new channel for businesses to expose their products & services via messaging platforms. In this session we will explore how Azure Bot Framework, Azure Cognitive Services can be integrated with Dynamics 365 for Customer Engagement and Customer Service
SEO Exellence with ChatGPT-Webinar DudaAnton Shulke
Dive deep into the world of ChatGPT-powered SEO and unlock its hidden potential. This comprehensive webinar will not only demonstrate the sheer power of integrating
by Joseph S. Kahn
How to Create an Award-Winning Intranet (Part 1 of 12) Bonzai Intranet
In Part 1 of our 12 part intranet series, 'Architecting & Executing Intranet Success,' We discuss How to Create an Award-Winning SharePoint Intranet Platform on Office 365.
The slides from my presentation at the Sitecore User Group Conference in The Netherlands on June 12th, 2015.
Demo source code is available at https://github.com/ParTech/SugCon2015
#SPSHouston Automating your digital workplace proivisioning with #Azure Durab...Vincent Biret
Slides supporting the session during SharePoint Saturday Houston. Talking about Azure Durable Functions, SharePoint Framework, Architecture, and the Microsoft Graph
Fuel Good 2018: Running Effective Projects in O365Sparkrock
A presentation on the new configuration of O365 Groups, SharePoint Team Sites, Planner, and Yammer, including using project sites and including people from outside your organization in your collaborative project sites.
As chatbots gain acceptance into consumer and businsess tech, they will become more and more complex. This presentation is an attempt to give a formal framework around the development lifecycle of a chatbot.
First presented at ChatBotConf 2016 in Vienna.
My Twitter: https://twitter.com/soganmageshwar
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
Top 7 Unique WhatsApp API Benefits | Saudi ArabiaYara Milbes
Discover the transformative power of the WhatsApp API in our latest SlideShare presentation, "Top 7 Unique WhatsApp API Benefits." In today's fast-paced digital era, effective communication is crucial for both personal and professional success. Whether you're a small business looking to enhance customer interactions or an individual seeking seamless communication with loved ones, the WhatsApp API offers robust capabilities that can significantly elevate your experience.
In this presentation, we delve into the top 7 distinctive benefits of the WhatsApp API, provided by the leading WhatsApp API service provider in Saudi Arabia. Learn how to streamline customer support, automate notifications, leverage rich media messaging, run scalable marketing campaigns, integrate secure payments, synchronize with CRM systems, and ensure enhanced security and privacy.
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisGlobus
JASMIN is the UK’s high-performance data analysis platform for environmental science, operated by STFC on behalf of the UK Natural Environment Research Council (NERC). In addition to its role in hosting the CEDA Archive (NERC’s long-term repository for climate, atmospheric science & Earth observation data in the UK), JASMIN provides a collaborative platform to a community of around 2,000 scientists in the UK and beyond, providing nearly 400 environmental science projects with working space, compute resources and tools to facilitate their work. High-performance data transfer into and out of JASMIN has always been a key feature, with many scientists bringing model outputs from supercomputers elsewhere in the UK, to analyse against observational or other model data in the CEDA Archive. A growing number of JASMIN users are now realising the benefits of using the Globus service to provide reliable and efficient data movement and other tasks in this and other contexts. Further use cases involve long-distance (intercontinental) transfers to and from JASMIN, and collecting results from a mobile atmospheric radar system, pushing data to JASMIN via a lightweight Globus deployment. We provide details of how Globus fits into our current infrastructure, our experience of the recent migration to GCSv5.4, and of our interest in developing use of the wider ecosystem of Globus services for the benefit of our user community.
May Marketo Masterclass, London MUG May 22 2024.pdfAdele Miller
Can't make Adobe Summit in Vegas? No sweat because the EMEA Marketo Engage Champions are coming to London to share their Summit sessions, insights and more!
This is a MUG with a twist you don't want to miss.
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
In the ever-evolving landscape of technology, enterprise software development is undergoing a significant transformation. Traditional coding methods are being challenged by innovative no-code solutions, which promise to streamline and democratize the software development process.
This shift is particularly impactful for enterprises, which require robust, scalable, and efficient software to manage their operations. In this article, we will explore the various facets of enterprise software development with no-code solutions, examining their benefits, challenges, and the future potential they hold.
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Mind IT Systems
Healthcare providers often struggle with the complexities of chronic conditions and remote patient monitoring, as each patient requires personalized care and ongoing monitoring. Off-the-shelf solutions may not meet these diverse needs, leading to inefficiencies and gaps in care. It’s here, custom healthcare software offers a tailored solution, ensuring improved care and effectiveness.
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
Cyaniclab : Software Development Agency Portfolio.pdfCyanic lab
CyanicLab, an offshore custom software development company based in Sweden,India, Finland, is your go-to partner for startup development and innovative web design solutions. Our expert team specializes in crafting cutting-edge software tailored to meet the unique needs of startups and established enterprises alike. From conceptualization to execution, we offer comprehensive services including web and mobile app development, UI/UX design, and ongoing software maintenance. Ready to elevate your business? Contact CyanicLab today and let us propel your vision to success with our top-notch IT solutions.
2. +38 096 448 80 46igor.luzhansky igor@chatbots.studio
About me
• Co-founder of http://Chatbots.Studio
• Co-author of course “Chatbots for marketers”
• Owner of MBA with exceptional recognition
• Bot evangelist
https://medium.com/@chatbots_studio/
4. +38 096 448 80 46igor.luzhansky igor@chatbots.studio
We cover how to manage the AI bot delivery
1
• Inherits waterfall methodology ( I love MSF)
2
• Distinct project activities per each project stage
3
• Criteria's of completion
4
• Key decisions per stage
5
• New team roles
5. +38 096 448 80 46igor.luzhansky igor@chatbots.studio
What will NOT be in the methodology ?
1
• How to program any bot or its component
2
• How to market, earn money on chatbot
3
• What is the chatbot and how to use it my
business
4
• How to run a software development project. You
should know that already
7. +38 096 448 80 46igor.luzhansky igor@chatbots.studio
Each problem of the project should have owner
8. +38 096 448 80 46igor.luzhansky igor@chatbots.studio
AI Chatbot project requires 2 new roles under user
experience
Role Problem Responsibility
Conversational expert • Conversation is not
engaging, It is not fun to
talk with bot
• Bot does not understand
me
• Bot does loses the context
of conversation
• It requires me to do a lot of
actions to get what I need
• Define the conversation of
flow
• Monitor the real
conversations and
optimize them
• Maintain NLP engine,
resolve fallouts and add
synonyms
Live user support • Users are leaving a
conversation
• Users are complaining
about bots
• Service is becoming lower
• Resolve user queries
• Contribute to conversation
improvements
12. +38 096 448 80 46igor.luzhansky igor@chatbots.studio
Vision for AI chatbot project should include
1
• Objectives and metrics for AI Chatbot
deployment
2
• Interfaces of a Chatbot
•3
• Approach for AI
13. +38 096 448 80 46igor.luzhansky igor@chatbots.studio
Each project should bring tangible business benefits
Increase
revenue
Develop new sales
channel
Increase
secondary sales
Reduce cost
Optimize
information
management
Automate manual
work
Reduce cost of
advertisement
companies
14. +38 096 448 80 46igor.luzhansky igor@chatbots.studio
Be clear at the very beginning where you bot will be
working
15. +38 096 448 80 46igor.luzhansky igor@chatbots.studio
When you definitely need AI in your Chatbot
No Controls in
Interface
• SMS
• WhatsApp
• Voice
• E-mail
A lot of data
records
• FAQ
• Search
Assistance
Non structured
nature of
information
• Dreams
• Complains
• Reviews
16. +38 096 448 80 46igor.luzhansky igor@chatbots.studio
When you definitely do NOT need AI in your Chatbot
Rare AI
language
• Lack of NLP
libs
• No support
from Big
players
• Ukrainian is in
the list
Customer has a
distinct task
• Buy ticket
• Setup an
appointment
• Make a
request
No enough data
to train NLP bot
• less than 100
records
18. +38 096 448 80 46igor.luzhansky igor@chatbots.studio
Should be considered during AI Chatbot planning stage
1 • Defined a detailed conversation flow
2 • Character of the bot
3 • Approach for AI implementation
4 • Define strategy for bot training
5 • Gather corpus of data
6 • Select development tools
•7 • Define requirements for integration
8 • Select live agent platform
19. +38 096 448 80 46igor.luzhansky igor@chatbots.studio
Watch dialog structure, it should be careful
20. +38 096 448 80 46igor.luzhansky igor@chatbots.studio
Consider the full technical landscape
Component Role Possible Solutions
Conversation Engine • Manage the conversation
logic
• Maintain the session
• Route the conversation
between interfaces
• Botkit
• Botpress
• Use own by using the plain
programming
NLP Engine • Identifies intent (NLU)
• Holds the context of
conversation
• Speach2text2Speach
• LUIS
• DialogFlow
• Amazon Lex
• Rasa.ai
• Wit.ai
Live Agent • Takeover the conversation
with a user
• Live Chat
• Intercom
Bot analytics • Google analytics for bots • Chatbase
UI framework • Presentation layer for web
bot and admin part
• Angular
• React
DBMS • Storage of the data • MySQL, MS SQL,
Postgres and etc.
21. +38 096 448 80 46igor.luzhansky igor@chatbots.studio
Bot is not a human, but has a character
22. +38 096 448 80 46igor.luzhansky igor@chatbots.studio
Plan to find a data for training in advance
Company
sources
• Contact
center logs
• Existing
support
scripts
• FAQ
Dedicated
sources
• Semantic
DBs
• NERs
Scrapping
• What ever
you can
find and get
from
internet
23. +38 096 448 80 46igor.luzhansky igor@chatbots.studio
NLP Engine vs Own AI
- Cheap and quick
development
- Not need for Data
Scientist to train
- Great results in
standard cases
- Has APIs for integration
- Does not support the rare
languages
- Have issues with a lot intents
- Could miss the context of
conversation
- Limited with NLU mostly
NLPEngine
- Could implement practically
any NLP function
- Covers NLG as well
- Could support rare language
- Requires a lot of Data to
train
- Long delivery
- Requires specific knowledge
OwnAI
25. +38 096 448 80 46igor.luzhansky igor@chatbots.studio
Developing of stage is not only about programming
1
• Define client onboarding strategy
2
• Create unit tests for external components
3
• Define test cases for NLP
26. +38 096 448 80 46igor.luzhansky igor@chatbots.studio
Plan in advance how the clients will come to your bot
From own
sources
• Site
• FB page
• Call center
phone
• Messenger
Search
Offline
• Posters
• Outlets
Partners
• Part of
other
business
process
27. +38 096 448 80 46igor.luzhansky igor@chatbots.studio
What conversational AI test cases should cover ?
• Miss spellings
• Synonyms, abbreviations, professional jargon
• Big quantity of similar intents (NLP engines could not recognize the difference)
• Logical (and, or) combinations
• Rejections of previous messages
29. +38 096 448 80 46igor.luzhansky igor@chatbots.studio
Specific activities for stabilizing stage
1
• Define the launch approach
2
• Issue specific environments for NLP engines
3
• Train live agents
30. +38 096 448 80 46igor.luzhansky igor@chatbots.studio
Define your launch strategy before the launch. Start with
small
Target
audience
• Limited
• Loyal
• Use the full
scenario
Scope of
launch
• What will be
used
• What will be
omitted
How to
resolve issues
• Redirect to
agent
• Set the trial
mode
Treat unhappy
clients
• Do not over
promise
• Think about
incentives
32. +38 096 448 80 46igor.luzhansky igor@chatbots.studio
Take offs
• AI Chatbot is NOT a toy
• AI Chatbot delivery requires a systematic set decisions
• You will need new roles on your team
Add a slide with possible bot interfaces, split them at AI based and not
Language is not supported by NLP engines
Users have a distinct task
You do not have enough data to train your AI
Screens with the bot characters
Find a post with that ?
NLP engine – support your language, able to recognize the intents correctly
- Does not meet your requirements
AI + you have enough data to train, your have a DS in your team, you need NLG, functions of NLP engine is not enough
- You have not done that before
Определение стратегии тестирования и багов дополнить
From site, FB page
From offline QR
From advertisement
Other will force a user to use it
miss spelling
Many similar content
Synonyms
Jargon and similar words
What is the target audience for start
What is the scope for launch
How you resolve issues
How do you treat unhappy clients