This document discusses the growing trend of chatbots and artificial intelligence assistants. It notes that major tech entrepreneurs like Mark Zuckerberg and Elon Musk have expressed interest in AI. While Musk sees AI as a potential threat, Zuckerberg wants to create an AI assistant for home use. The document outlines how chatbots use technologies like natural language processing and machine learning. It provides examples of chatbots being used in applications like customer service, human resources, and scheduling. In conclusion, the document predicts that AI assistant and chatbot applications will continue growing in both enterprise and consumer spaces.
3. Renowned entrepreneurs and
technologists including Mark
Zuckerberg, Elon Musk and Reid
Hoffman
3www.kooki.co
have recently declared their
renewed interest in Artificial
Intelligence (AI) projects.
Some believe that AI
Development is a real threat to
the human race, some do not.
4. Elon Musk worries that
artificial intelligence will
take over the world.
(Dec 2015, @ Launchof
OpenAI Project)
IT’S A THREAT!
4www.kooki.co
5. "My personal challenge for
2016 is to build a simple AI to
run my home and help me with
my work.
You can think of it kind of like
Jarvis in Iron Man….”-
Mark Zuckerburg, Jan 2016
IT’S NOT A THREAT!
5www.kooki.co
8. Artificial Intelligence
Assistant Trend
8
“Over time, the computer itself – whatever its
form factor – will be an intelligent
assistant helping you through your day. We
will move from mobile-first to an AI-first world.”
Sundar Pichai, Google CEO
28 April 2016
www.kooki.co
10. What is Artificial Intelligence?
10www.kooki.co
Artificial intelligence (AI) is the intelligence exhibited
by machines or software. It is also the name of the
academic field of study which studies how to create
computers and computer software that are capable of
intelligent behavior. (credit: wiki)
12. Semantic Web Artificial Intelligence
12
Deep Learning
Machine Learning
Hybrid Intelligence
Ontology
DeepMind
AI Assistant
Chatbot
12
www.kooki.co
What is Artificial Intelligence?
14. What is Chatbot?
14www.kooki.co
A.I. computer programs designed to
behave like a human that you can
interact with, in order to get
information or get things done
15. “Chat apps will come to be
thought of as the new
browsers; bot will be the
new websites. This is the
beginning of a new Internet”
Ted Livingston
Founder & CEO of KiK
April 2016
15www.kooki.co
17. The Rise of
Messenger Apps
The race of Chatbots
integration on Messaging
platforms is ON!
(MAU: Monthly Active Users)
17www.kooki.co
18. “Facebook will now allow businesses to deliver automated
customer support, e-commerce guidance, content and
interactive experiences through chatbots…” – TechCrunch,
April 2016
18www.kooki.co
19. “Singapore is partnering with software
giant Microsoft to develop next-
generation digital government services
via chatbots that will enable
conversation — be it voice or text”
Dr Vivian Balakrishnan, Minister-In-
Charge of the Smart Nation Initiative,
July 2016
19www.kooki.co
21. The Artificial Intelligence
behind Chatbots
Text &/or Speech
Engine
Natural
Language
Processing
Machine
and Deep
Learning
21www.kooki.co
22. The Artificial Intelligence
behind Chatbots
Text &/or Speech
Engine
Natural
Language
Processing
AI Engine #1: Natural Language Processing (NLP)
NLP enables computers to derive meaning
from human or natural language input.
Machine
and Deep
Learning
22www.kooki.co
23. The Artificial Intelligence
behind Chatbots
Text &/or Speech
Engine
Natural
Language
Processing
AI Engine #1: Natural Language Processing (NLP)
NLP enables computers to derive meaning
from human or natural language input.
Machine
and Deep
Learning
23www.kooki.co
24. The Artificial Intelligence
behind Chatbots
Text &/or Speech
Engine
Natural
Language
Processing
AI Engine #2: Machine Learning (ML)
ML enables computers to learn when exposed
to new data without being explicitly
programmed.
Machine
and Deep
Learning
24www.kooki.co
25. The Artificial Intelligence
behind Chatbots
Text &/or Speech
Engine
Natural
Language
Processing
AI Engine #2: Machine Learning (ML)
ML enables computers to learn when exposed
to new data without being explicitly
programmed.
Machine
and Deep
Learning
25www.kooki.co
26. Chatbots: History
1950: Alan Turing
proposes the
Turing Test to
determine the
intelligence of
computer
programs
1995: Alice was
launched. It was
one of the most
successful
chatterbots at
that time
1950 1960 1970 1980 199
0
2000 2010
2013: Mitsuku wins
the Loebner Prize.
It is one of the most
human-like
chatbots publicly
available
1990: The Loebner
Prize, a competition
that judges chatbots
based on their human
likeness, is launched
1965:
Development of
ELIZA, one of
the first chatbots
1972: PARRY was
launched. It was a
chatbot that
simulated a
patient with
paranoid
schizophrenia.
26www.kooki.co
27. Chatbots: History
1950: Alan Turing
proposes the
Turing Test to
determine the
intelligence of
computer
programs
1995: Alice was
launched. It was
one of the most
successful
chatterbots at
that time
1950 1960 1970 1980 199
0
2000 2010
2013: Mitsuku wins
the Loebner Prize.
It is one of the most
human-like
chatbots publicly
available
1990: The Loebner
Prize, a competition
that judges chatbots
based on their human
likeness, is launched
1965:
Development of
ELIZA, one of
the first chatbots
1972: PARRY was
launched. It was a
chatbot that
simulated a
patient with
paranoid
schizophrenia.
27www.kooki.co
39. HR Assistant Chatbots
“They will tell Mila
they’re not feelin
well….
“I’m sorry to hear
that,” Mila will
respond….
Mila will send a
message to the
appropriate
manager….”
39www.kooki.co
43. Scheduling Assistant Chatbots
Meekan is your team’s scheduling assistant
robot. Just ask for a meeting, and Meekan
will match everyone’s calendar for the
optimal time
43www.kooki.co
58. Intelligent Agent for Enterprise
Professionals
Kooki builds AI Agents that boost enterprise knowledge
accumulation and users’ professional capabilities with
DeepProTM, our suite of artificial intelligence & deep learning
expertise models.
INTRODUCING KOOKI
58www.kooki.co
59. Intelligent Agent for Enterprise
Professionals
Kooki builds AI Agents that boost enterprise knowledge
accumulation and users’ professional capabilities with
DeepProTM, our suite of artificial intelligence & deep learning
expertise models.
Management
Mid-Management
Working …
Kooki’s AI Agent Model: Tiering & Collaborative Network
INTRODUCING KOOKI
59www.kooki.co
60. Intelligent Agent for Enterprise
Professionals
Kooki builds AI Agents that boost enterprise knowledge
accumulation and users’ professional capabilities with
DeepProTM, our suite of artificial intelligence & deep learning
expertise models.
Management
Mid-Management
Working …
Kooki’s AI Agent Model: Tiering & Collaborative Network
INTRODUCING KOOKI
60
AI Agent Applications
to come:
• Market Intelligence
• Financial Analysis
• Governance & Regulation
• Accountancy
• HR Management
• Customer Service
• More…
www.kooki.co
61. OUR CORE TEAM
Weetiong Ang
CEO
“There will come a day when we
witness the convergence of
human and machine.”
- Weetiong Ang
Teewee Ang
CMO
“If you want to go fast, go alone. If
you want to go far, go together.”
– African Proverb
Joey Sim
Business Development Lead
“Success is how high you bounce
when you hit bottom.”
-George S. Patton
INTRODUCING KOOKI
61www.kooki.co
WhatsApp, Facebook Messenger, WeChat, and Viber have 2.125 billion monthly active users globally (users who accessed the apps at least once in a 30-day period). And these are all mobile users
2.125 billion, users of Facebook, Twitter, LinkedIn, and Instagram combined. But these numbers also include millions of computer-only users!
WhatsApp, Facebook Messenger, WeChat, and Viber have 2.125 billion monthly active users globally (users who accessed the apps at least once in a 30-day period). And these are all mobile users
2.125 billion, users of Facebook, Twitter, LinkedIn, and Instagram combined. But these numbers also include millions of computer-only users!
during their interaction with online users by taking inputs and matching it with data base to output a sentence and continue the conversation
during their interaction with online users by taking inputs and matching it with data base to output a sentence and continue the conversation
WhatsApp, Facebook Messenger, WeChat, and Viber have 2.125 billion monthly active users globally (users who accessed the apps at least once in a 30-day period). And these are all mobile users
2.125 billion, users of Facebook, Twitter, LinkedIn, and Instagram combined. But these numbers also include millions of computer-only users!
Retrieval models, which use predefined responses or Generative models which generate new responses from scratch. - retrieval models don’t make grammatical mistakes, as they have a database of responses to choose from; they are unable to handle cases for which no appropriate predefined response exists. On the other hand, Generative models are hard to train and are more likely to make grammatical mistakes, even though they are ‘smarter’ as they use machine translation techniques to translate from an input to output.
Facebook Messenger bot engine will be following the retrieval model for most companies as the starting point of a bot would be a set of interaction rules defined by the developer as some basic guidelines on handling inquiries.
http://analyticsindiamag.com/rise-chatbots-analytics-behind/
Retrieval models, which use predefined responses or Generative models which generate new responses from scratch. - retrieval models don’t make grammatical mistakes, as they have a database of responses to choose from; they are unable to handle cases for which no appropriate predefined response exists. On the other hand, Generative models are hard to train and are more likely to make grammatical mistakes, even though they are ‘smarter’ as they use machine translation techniques to translate from an input to output.
Facebook Messenger bot engine will be following the retrieval model for most companies as the starting point of a bot would be a set of interaction rules defined by the developer as some basic guidelines on handling inquiries.
http://analyticsindiamag.com/rise-chatbots-analytics-behind/
Retrieval models, which use predefined responses or Generative models which generate new responses from scratch. - retrieval models don’t make grammatical mistakes, as they have a database of responses to choose from; they are unable to handle cases for which no appropriate predefined response exists. On the other hand, Generative models are hard to train and are more likely to make grammatical mistakes, even though they are ‘smarter’ as they use machine translation techniques to translate from an input to output.
Facebook Messenger bot engine will be following the retrieval model for most companies as the starting point of a bot would be a set of interaction rules defined by the developer as some basic guidelines on handling inquiries.
http://analyticsindiamag.com/rise-chatbots-analytics-behind/
Retrieval models, which use predefined responses or Generative models which generate new responses from scratch. - retrieval models don’t make grammatical mistakes, as they have a database of responses to choose from; they are unable to handle cases for which no appropriate predefined response exists. On the other hand, Generative models are hard to train and are more likely to make grammatical mistakes, even though they are ‘smarter’ as they use machine translation techniques to translate from an input to output.
Facebook Messenger bot engine will be following the retrieval model for most companies as the starting point of a bot would be a set of interaction rules defined by the developer as some basic guidelines on handling inquiries.
http://analyticsindiamag.com/rise-chatbots-analytics-behind/
Retrieval models, which use predefined responses or Generative models which generate new responses from scratch. - retrieval models don’t make grammatical mistakes, as they have a database of responses to choose from; they are unable to handle cases for which no appropriate predefined response exists. On the other hand, Generative models are hard to train and are more likely to make grammatical mistakes, even though they are ‘smarter’ as they use machine translation techniques to translate from an input to output.
Facebook Messenger bot engine will be following the retrieval model for most companies as the starting point of a bot would be a set of interaction rules defined by the developer as some basic guidelines on handling inquiries.
http://analyticsindiamag.com/rise-chatbots-analytics-behind/
A human-like language processing
Two components
Natural Language Understanding (NLU)
Natural Language Generation (NLG)
Information extraction and classification
Translation
Question Answering
Information Retrieval
While chatbots may not replace the app experience entirely, they can offer a new and flexible way for brands to create new experiences for mobile users. So for example, instead of having to download and register for an additional dedicated app to access a new service, mobile messaging users will simply send a text to their bot of choice to do a variety of activities such as purchasing cinema tickets, calling a taxi, ordering a take-away or simply to catch up on the latest news stories."
A human-like language processing
Two components
Natural Language Understanding (NLU)
Natural Language Generation (NLG)
Information extraction and classification
Translation
Question Answering
Information Retrieval
While chatbots may not replace the app experience entirely, they can offer a new and flexible way for brands to create new experiences for mobile users. So for example, instead of having to download and register for an additional dedicated app to access a new service, mobile messaging users will simply send a text to their bot of choice to do a variety of activities such as purchasing cinema tickets, calling a taxi, ordering a take-away or simply to catch up on the latest news stories."
A human-like language processing
Two components
Natural Language Understanding (NLU)
Natural Language Generation (NLG)
Information extraction and classification
Translation
Question Answering
Information Retrieval
While chatbots may not replace the app experience entirely, they can offer a new and flexible way for brands to create new experiences for mobile users. So for example, instead of having to download and register for an additional dedicated app to access a new service, mobile messaging users will simply send a text to their bot of choice to do a variety of activities such as purchasing cinema tickets, calling a taxi, ordering a take-away or simply to catch up on the latest news stories."
A human-like language processing
Two components
Natural Language Understanding (NLU)
Natural Language Generation (NLG)
Information extraction and classification
Translation
Question Answering
Information Retrieval
While chatbots may not replace the app experience entirely, they can offer a new and flexible way for brands to create new experiences for mobile users. So for example, instead of having to download and register for an additional dedicated app to access a new service, mobile messaging users will simply send a text to their bot of choice to do a variety of activities such as purchasing cinema tickets, calling a taxi, ordering a take-away or simply to catch up on the latest news stories."
eliminate the password jujitsu associated with accessing dozens of workplace apps.
53% Better performance thanks to enterprise apps
240 hours Per year saved from mobile working
61% Of workers working outside office
3+ Devices daily for working activities
eliminate the password jujitsu associated with accessing dozens of workplace apps.
53% Better performance thanks to enterprise apps
240 hours Per year saved from mobile working
61% Of workers working outside office
3+ Devices daily for working activities
facilitate data-driven decision making in all areas of businesses.
http://www.cio.com/article/3027442/collaboration/how-messaging-bots-will-change-workplace-productivity.html
facilitate data-driven decision making in all areas of businesses.
http://www.cio.com/article/3027442/collaboration/how-messaging-bots-will-change-workplace-productivity.html