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8 Chatbot Development Frameworks: Building a Better Bot for Your Business


There has been an explosion in the use of chatbots across both business websites and messaging applications, mainly because businesses want to cater to their customers and customers have a lot of queries that need to be answered. Managing these queries is difficult and cannot be done on a 24/7 basis unless you have a rotating team. – PowerPoint PPT presentation

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Title: 8 Chatbot Development Frameworks: Building a Better Bot for Your Business

8 chatbot Development Framewoks Building a
better bot for your Business
(No Transcript)
There has been an explosion in the use of
chatbots across both business websites and
messaging applications, mainly because businesses
want to cater to their customers and customers
have a lot of queries that need to be answered.
Managing these queries is difficult and cannot be
done on a 24/7 basis unless you have a rotating
team. One way to cut down operation costs and
still provide a personalized customer experience
is with chatbots. So, when it comes to the
numerous chatbot development frameworks, knowing
which one is right for your business can be a bit
of a conundrum. This is why we have compiled a
list of the most popular chatbot development
frameworks that can help you build intelligent,
adaptable, and productive chatbots. Whichever
platform you choose, you will get a chatbot that
is cost-effective, scales as you grow, and
provides a personalized customer experience.
Which Platforms Are The Best, moving into 2020?
  • Microsoft Bot Framework Build Connect
    Intelligent Chatbots The Microsoft Bot Framework
    that is used around the world by developers
    looking to build secure, scalable, solutions that
    integrate with current information technology
    ecosystems. The idea behind it is to help
    enterprises extend or expand their brand without
    losing control over data ownership. It is a rich
    framework that allows developers to develop,
    publish, and manage their bots all in one place,
    as it comes with two major components. First, the
    platform offers channel connectors, allowing you
    to connect the chatbot to messaging channels, and
    second, it comes with SDKs for implementing
    business logic into your conversations. Pros
    include pre-built options, machine learning
    speech to text implementation, is multilingual,
    has technical computer support, and works in
    multiple computer languages. The one con is that
    you have to choose to develop your chatbot in C
    or Node.Js. can integrate with popular messaging
    applications like Facebook, Messenger, Slack,
    Skype, Cortana, and even websites

  • Wit.AI An NLP Thats Free to Use The Wit.ai
    chatbot development framework is free to use,
    even for commercial entities, is open-source, and
    leverages community-based input to better the
    platform. While it is under Facebooks branding,
    it started out as a Y Combinator Startup, which
    is an American seed accelerator company that
    invests funding into small companies. Due to the
    bot being open-source, over 200,000 developers
    have used it, allowing new developers to create
    chatbots with human-level interaction and
    intelligence. A lot of time is saved this way as
    the basics of human conversations do not need to
    be taught. Pros include being open source, has an
    incredible natural language processing engine,
    offers SDKs for IOS, Python, Ruby, and Node.Js,
    and supports over 80 languages. Plus, due to it
    being owned by Facebook, it is easily deployable
    on Facebook Messenger. The con with it is that
    some developers find that missing parameters are
    hard to retrieve. Can be integrated into any
    application, any website, Facebook Messenger,
    into home automation systems, into wearable
    devices and Slack.

  • DialogFlow For Conversational Bots. The
    DialogFlow chatbot development framework is
    designed specifically around conversations,
    allowing developers to create highly intelligent
    chatbots and voice applications that can grasp
    the nuances of language. Over time, these
    chatbots continue to improve because they are
    supported by Googles Cloud Natural Language,
    making it very easy for developers to train the
    chatbot to understand the finer details of human
    conversations. Yes, this includes human emotions
    and their connecting sentiments. With DialogFlow
    being a subsidiary of Google, it is built on
    Googles infrastructure, allowing you to scale to
    millions of users and build actions for more than
    400 million Google Assistant devices. Pros
    include the framework supporting voice and
    text-based assistants, is easy to learn from a
    development standpoint, provides rich
    conversations, has SDKs for 14 platforms,
    supports 20 languages, has an in-line editor,
    provides sentiment analysis, and can even be
    programmed to carry out jokes, event searches,
    and payment handling. It has IoT integration for
    home automation as well. The con is that
    programmers do not have access to control over
    dialogue processing. Can integrate with Google
    Assistant, Facebook Messenger, Cortana, Kik,
    Skype, Telegram, Viber, Alexa, Slack and more.

  • IBM Watson Perfect for Internal Use The IBM
    Watson chatbot development framework is
    industry-leading, well-known, and one of the best
    platforms to use if you want to develop a retail,
    banking, Slack or voice-enabled Android chatbot.
    The platform comes with pre-configured content
    for customer care, banking, eCommerce, and
    utility content, making it extremely flexible. It
    is built on a neural network that is comprised of
    one billion words from Wikipedia and it uses
    machine learning to respond naturally to human
    queries. Pros include a highly advanced machine
    learning engine, automated predictive analysis, a
    Watson GUI for non-technical users, development
    can be stored on a private cloud, it comes with
    visual recognition security, supports 10
    languages and has a built-in translator, and
    comes with a tone analyzer for understanding
    negative and positive responses. The con is that
    it can be a bit confusing to use if you are
    looking to create a very simple, non-AI powered
    chatbot, due to the number of tools available on
    the platform. Can integrate with WordPress
    websites, Intercom, Slack, and Facebook Messenger.

  • WordPress A Module Based Option The BotPress
    chatbot development framework takes quite a
    different approach in that it doesnt require
    developers to implement their own dialogue
    manager, channels, or natural language
    understanding process because it comes with them
    all. This platform was built by developers as an
    open-source option with a user-interface so that
    non-technical individuals can manage the chatbots
    after they are deployed. It works on a module
    system which makes it fully customizable, and
    comes with a conversational flow management
    system, an NLU, actionable analytics, an
    authoring UI, and is multichannel. It can
    integrate with platforms like Skype, Telegram,
    Twilio, BotFrameWork, WebChat, Facebook
    Messenger, and SMS.
  • Rasa Stack A Python-based Platform The Rasa
    Stack framework is for developers, companies, and
    businesses that require contextual-based chatbots
    that can answer, understand, and execute on
    contextual circumstances. This platform is used
    widely in large companies within the banking
    sector, the sports industry, with job
    recruitment, and healthcare providers. Rasa is
    open source, automated text and voice assistants,
    and is made up of two major components. The first
    is the Rasa NLU which is their natural language
    processing engine, and the second is the Rasa
    Core, which uses intents and entities to
    understand queries. The pros of Rasa Stack are
    that it can manage contextual dialogues, can
    recognize intent, provides full data control, and
    allows you to create custom models. It can be
    integrated with Rocket. Chat, Slack, Twilio,
    Facebook Messenger, and Telegram.

  • ChatterBot Based on Adaptability If you are
    looking for a chatbot that can be trained in any
    desired language, ChatterBot is a fantastic
    option. It is powered by Node.Js and works by
    creating a Python library. While this chatbot
    will start off with no knowledge of how to
    communicate and with every human query, the
    chatbot saves the text that was entered and the
    text that the statement was issued for. The more
    input there is, the more accurate each response
    becomes as the chatbot learns how to communicate.
    Essentially, the chatbot will always choose the
    closest matching response by searching for the
    closest matching statement within its library and
    then returns the most likely response back based
    on the statement. Or in short, learns to
    communicate based on a collection of
    conversations in combination with machine
    learning. This is a good option for developers
    that need a bot to adapt based on conversation
    and continuous learning.
  • Amazon Lex. The Amazon Lex chatbot development
    platform is a part of the Amazon Web Services and
    comes with sophisticated bot-building tools. Like
    a few other platforms, it comes with built-in
    natural language understanding, machine learning,
    and numerous SDKs for different platforms. It
    allows the developer to input automated speech
    recognition that can be converted into text, can
    integrate with other Amazon Web Services and is
    free to use. Unfortunately, it is only available
    in American English at this time.

While all of these chatbot development platforms
have their use-cases, it is important to note
that the first few that you try may not be the
right fit, as you will need to use one that best
suits the kind of business that you have. If you
have any questions about any of the above chatbot
development frameworks or believe that one of
these frameworks would work well for your
business, please feel free to open up a
conversation with us. Here at Lets Nurture, we
build intelligent, conversational chatbots that
help serve your customers around the globe with a
personalized and tailored experience. The end
result is a chatbot that can uplift your
day-to-day operations, leaving you with more room
to attend to critical business matters, while
still providing excellent customer care. If youd
like to get in touch with us about an idea or
with questions, please contact us or chat us up
at 1-902-620-9098 . Wed love to help with your
next project!
Why choose Lets Nurture?
Lets Nurture is an ISO 90012015 certified IT
service provider offering custom web and Mobile
App Development services for business of any
size. We are confident to be the best in this
field. We also have handsome experience in
developing IoT products and working closely with
various other technologies. If you have any
doubt regarding your business startup, feel free
to talk to our business consultants. Lets join
hands to carve a better tomorrow.
If you are thinking of leveraging huge benefits
in the Web Development and Mobile Apps
development, then what are you waiting for?
Contact us
Hire our Experts Dedicated Developers Now

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information, kindly visit www.letsnurture.com to
explore our expertise and other industries we
have catered. Write us at info_at_letsnurture.com
Talk to us 1-631-954-6922
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