Presentation from the Berlin Data Products Meetup 9. Vyugar is a manager at Nanosemantics Lab. Over the last five years, he has worked in China, Canada, United Kingdom and Russia, focusing his attention around the IT industry. In his position, Vyugar is trying his best to create a better and more automated world. Vyugar makes it his mission to help more people understand the capacity of the current chat bot technology. He focuses his attention on developing virtual assistants who will have the ability to fully understand a human language and therefore help clients reduce their human resource workload.

2. 15years on the
market
90commercial
projects
50+
professionals
with PhD
degrees
ABOUT US
+
12languages
covered
About me
Closely worked around IT
Projects in China,
Canada, United Kingdom,
Azerbaijan and Russia
Currently focused on
international expansion
for Nanosemantics
University of Sheffield graduate;
сo-founded mooncommunity.co.uk;
Youtube ambassador program

3. allows users to interact with a machine or a database
using natural language (via text or voice)
Chatbot Dialog Interface
is the amount companies can
save with the help of chatbots by
2020
8 BILLION DOLLARS

4. The Market
The chatbot market was worth $946,55
million in 2017 and is set to reach $5638,64
million by 2023, registering a CAGR
(compound annual growth rate) of 34.64%
between 2018 and 2023.

5. The Market

6. “
The Market
The pace of change in
technology continues to
accelerate, forcing
business and technology
decision makers to act
ahead of the curve.

7. 9 Myths About
Chatbots
4

8. Chatbots are developed by:
• All the largest banks (Bank of
America, Wells Fargo, HSBC (Hong
Kong), etc.)
• Telecom operators
• Utility services
• Retailers (H&M, Decathlon, Louis
Vuitton, etc.)
• Educational institutions
The Market Isn’t ReadyMyth 1:

9. Chatbots are no use for:
 Companies with a small pool of customers
 Сompanies with non-typical client requests/complaints
 Companies that don’t need to communicate with their clients
 Tasks that are inconvenient to complete via text / voice channels
Everyone Needs a Chatbot –
and Chatbots Can Do Anything
Chatbots cannot:
 Answer any and all questions
 Work with non-typical situations
Myth 2:

10. Advantages:
• Cutting costs on communication with
customers
• Saving customers’ time
• Consulting clients and employees
• Technical support
• Lead generation
• Questioning
• Carrying out orders
• Entertainment
Chatbots Are UselessMyth 3:

11. Chatbots Are Useless
Number of requests to a human customer service officer
Voice channels Text channels
Before the integration of a
chatbot
1 135 325 367 876
8 months after the integration
of a chatbot
987 733 231 762
Workload reduction, % 13% 37%
Data offered by one of our clients in the telecom sphere
Myth 3:

12. Why?
1. The chatbot doesn’t understand the client’s
issue and ends up in a broken cycle
2. The chatbot gives incorrect answers
3. The chatbot cannot redirect the client to a
human employee
People Don’t Like Talking to
Chatbots
Myth 4:

13. Bot: Hello! I am Dana. I’m happy to answer any of your questions.
User: Hello! Last year I changed my mobile carrier to tele2. I’m really dissatisfied with their services! Can I switch back to
your plan? It was called Everything for 50 .
Bot: The plan Everything for 50 you get: calls within the network for 0 tenge, 110 minutes for calls to other mobile operators
in Kazakhstan and 10GB of Internet traffic 24/7
User: Yes, that’s it. Answer the question, please
Bot: Sorry if I misunderstood you.
User: Yes, you misunderstood me
Bot: Perhaps you are interested in: • {tariffs} • {mobile Internet} • {number selection} • {tariff selection} • {USSD-teams}?
User: Are you a robot?..
Bot: I'm Dana. I’m happy to answer any of your questions.
User: I do not speak with robots
Myth 4: People Don’t Like Talking to
Chatbots

14. The Range of Features is Much Wider:
• Chatbots can maintain a conversation
in natural language
• Integration with customer systems
• Dialogue Analytics
• Redirecting to a Customer Service
Officer in case of misunderstandings
• Voice recognition
A Chatbot is Just Buttons in a
Messenger
Myth 5:

15. Developing a Chatbot is Easy
Programming Code ConstructorsFrameworks Platforms
Myth 6:

16. VS
Developing a Chatbot is EasyMyth 6:

17. The Ideal Situation: we unload dialogues from a
database, train a neural network with it and get a
perfect chatbot!
The real problems:
• There is no suitable database
• The database is convoluted (personal data,
unneeded information, ...)
• In addition to information requests, there are
transactional ones – what should be done with
them?
• The data is incomplete
• The dialogues are vague, unfocused
Machine Learning is EverythingMyth 7:

18. The advantages of machine learning:
• Assisting data engineers in chatbot training
• Dialogue analytics in your personal user
account
• Automatic answers for FAQs
Myth 7: Machine Learning is Everything

19. This only causes harm.
Reasons:
1. People can easily
distinguish a bot from a
human
2. People communicate
differently with bots and
humans
A Chatbot Must Pretend to
Be HumanMyth 8:

20. Even a simple avatar increases the engagement rate
Animate the chatbot to make it more life-like and approachable
A Chatbot Doesn’t Need an
Avatar/PersonalityMyth 9:

21. What’s next?

22. What’s next?
Voice First

23. Our Clients

24. THANK YOU
FOR YOUR ATTENTION
Contacts:
Phone: +994 77 600 44 85
Website: nanosemantics.ai
Email: nadzhafov@nanosemantics.ai
Chat with Eliza about
chatbots on our website!
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