“Just
about a decade ago, having a conversation with any AI machine was
universally a frustrating or comedic process indeed for all of us.”
But,
if you take a deeper look in the current scenario, AI has changed quite
a lot of things in the world. It is not just a plug-and-play capability
instead machine learning is inductive—that is, machines learn by doing,
and they need to be fed large amounts of information & data to get
smarter. Although having Natural Language Processing (NLP) and
recognition is hard, thanks to machine learning algorithm which is
improvising at a faster growth rate and is closer to a point where it
will be harder for anyone to tell that whether we are talking to a computer or a human.
All
the top innovators around the world are paying their full attention on
AI, with promoting personalized experiences, more and more intelligent
chatbots are being built every now and then to engage users with their
business and improve brand image. That said it is thus a rare case to
find a live intelligent chatbot, also called as AI chatbot. As
the thought of chatbot springs up in my mind our any of us, we all know
that it is not human for sure. What we know is that chatbot brings a
human touch. For that to become a reality, it is crucial for chatbots
to be intelligent. It is the human intelligence that gives power to the
AI chatbot to learn from conversations and handle every situation that
comes it's the way.
How to determine if a chatbot is intelligent???
Bots
are not smart by default. These have the capability of showing some
level of artificial intelligence by leveraging some advanced
technologies such as machine learning, big data, natural language processing (NLP), etc. There are some factors to find out what make the chatbots intelligent and capable of simulating human-like conversations.
1. Contextual Understanding:
Understanding the context in a single statement is one of the most
challenging aspects of AI Chatbot. To gain a better perceptive, a bot
needs to analyze inputs like date, time, conversation tone, sentence
structure, etc. After that, these variables are analyzed to enable bots
to understand the context in conversation.
2. Coherent responses:
Achieving coherence is another hurdle that a chatbot needs to cross. To
make a human-like conversation, a chatbot needs a tone and dialect for
communication such as a human. The communication with the bots needs to
be consistent in terms of language and style. A chatbot can't
communicate in a different ascent or tone. In order to meet this, it is
necessary to plan a character for the bot and stick to it while having a
conversation. Getting this coherence in bots is really complicated
especially when it needs to communicate in audio along with the text.
3. Learning abilities:
It is very common for a chatbot to ask multiple questions from the user
to know about their preferences. This is fine for users as well, but if
the same questions are asked to you every time you try to communicate
with a bot, then it will become irritating. Also, we humans have a habit
of continuing our conversation from the point we last left from. Thus,
machine learning abilities are expected to be the same if a chatbot is
considered to be artificially intelligent.
4. Generative responses:
A chatbot is designed to work easily in a predefined conversation flow.
In general, there is no need for this predefined flow for AI chatbot,
but it becomes complicated to make these flows in case of open-end
conversation. An AI chatbot is designed in a way that it can look for
solutions to user’s queries from different sources like the Internet and
prebuilt datasets to provide the correct response.
Do you want your own AI chatbot for your business?
Now,
when we are well-aware with the facts that make a chatbot intelligent
the next step is to estimate your requirements according to your
business need. A chatbot can be intelligent in different ways and can be
as good as Siri. One thing that needs to be consider in mind is that,
the more complex a chatbot programming is, the more time and money is
also invested in its direct proportion. So, it's necessary to define
your requirements before making your intelligent bot for your business
or company.
The best approach would be analyzing the right need and research the right area of your goals. If your AI chatbot
means to solve some specific problem, it is better to go for predefined
communication flows. Doing this will save your resources and money as
well and ensure a high conversion rate. On the other hand, if you want
to engage your users on a plethora of topics then opting for AI chatbots
is the best idea. However, it is good to be limited and specific in the
communication of chatbots. Once you notice a positive ROI in the usage
of your bot then it's good to eventually increase the scope and
intelligence.
Conclusion
We
at 75way Technologies are thrilled by the curiosity about AI and
machine learning, with our vision to succeed in AI we believe in
innovation and changing the future. By keeping a track of the latest
improvements like AI powered image processing and thus use this
knowledge when working on our AI projects. We will gladly assist you in
implementing and building chatbots for your business or giving any
custom AI-based solution from scratch.
For more information and assistance please visit www.75way.com
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