Chatbots: The Future Transformed by the Evolution of AI and Robotics – Reading Memo

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Chatbots: The Future Transformed by the Evolution of AI and Robotics – Reading Memo

From “Chatbots and the Future Transformed by the Evolution of AI and Robotics” used in artificial intelligence technology and digital transformation. Include reading notes.

Chatbots The Future Transformed by AI and Robotic Evolution
Preface
Part1 What is a chatbot?
1.1 Chatbots to replace all services
What is a chatbot?
The Three Impacts of Chatbots
First impact – change in service design and UI design
The second impact – changes in web marketing metrics
The third impact: Chatbots will swallow up all services.
Possibility of major changes in search engine traffic
Possibility of replacing existing apps
A platform on top of a platform
1.2 What is a “bot”?
What is a bot?
Bots for automation and chat as a communication tool between engineers
With “Artificial Brain,” conversational experiences with bots will become commonplace
Platform APIs and frameworks make it easy to develop chatbots
1.3 Too many apps with the spread of smartphones
App development is the “gold rush of the 21st century
The smartphone app market is maturing
Will 2016 be the dawn of the next gold rush?
1.4There’s no escaping the “pleasant user experience
A UX called “conversation” that even the elderly can use
Conversational UX that promotes user understanding and continuous improvement
Web marketers used to have to “infer user intentions” from logs.
Chatbots enable us to get in touch with the “true intentions of users
Chatbots running on messaging platforms
1. No need for users to log in again when using them
2. No need for users to install a new app
3. Be able to have contact with users
4. Possibility for platform vendors to act as payment agents
1.5 People or bots?
Significant investment in artificial intelligence research
Natural conversation is a little further away
Redelivery requests are already being handled by machines
Chat is suitable for people who have a specific purpose
How to make bots unique
1.6Case studies of chatbots used by KLM, Uber, and Domino’s Pizza
KLM Airlines, where passengers can now board via messenger
Uber can be called without launching the app
Sales via LINE messages reached 200 million yen in 7 months
Possibility of changing the customer’s route (line of flow)

Part2 Business Possibilities in Chatbots
2.1 “Talking to Brands
What is an Acceptable Bot?
Beware of pushy messages, as they are quickly blocked
Focus on valuable conversations
Can it be personalized (personal optimization)?
Focus on content
The bot becomes the brand itself
Repeatability and Engagement Time
2.2 Benefits for Brands from Chatbots
Go where your 3.5 billion potential customers are
Massive amount of conversation data gained through automation
Impact of push notifications that can be sewn up
And integration with databases
Users can communicate with a learning corner interface
2.3 Five areas where chatbots will begin to erode
Alert-type pods for news, etc.
Search-based pots
Field-specific search pots
Customer support type pots
Reservation and purchase pots
Gaming-related pots
2.4 Sub-bots and universal bots
SubPots that focus on specific fields
Universal pots” that improve the mobile experience
Ecosystem of smartphone apps on the verge of collapse
Risks of universal pots that manipulate all information
2.5 Tools that can be used for chatbot development
Platform APIs
Facebook Messenger Platform
LINE BOT API
Slack API
Kik API
Bot development frameworks
Microsoft Bot Framework
Botkit
Hubot
Bot development and operation services
User Local Artificial Intelligence Bot
Real-AI
Rinna API for Business
Machine Learning Service
Wit.ai
API.ai
Cloud Machine Learning, a cloud learning feature provided by Google
AlchemyAPI
Artificial intelligence needs to be optimized for different applications
2.6 Business Development of Chatbots
Dark social” cannot be ignored as a channel to attract customers
Business development on chat is becoming more serious.
Is “human intervention” essential for business?
Many chatbots are still used in combination with efforts
It is easy to introduce chatbots in fields where data accumulated by existing services can be used.
2.7 Issues with chatbots
Microsoft has shown the challenges of artificial intelligence
Will it be the second best thing to email?
Frustrating conversations” at the core
Various ways to improve the accuracy of conversations

Part3: Platformers driving the bot era
3.1 Kik and Telegram, the pioneering bot platforms
Kik is a messaging app used by 40% of young people in the U.S.
The first to develop a chatbot business
Telegram, one of the first to develop a bot store
Strategies revealed by bot stores
Differences between Kik and Telegram’s bot stores
3.2 Slack’s impact on the value of bots
Slack continues to grow by swallowing up every tool related to business
Developers from around the world are developing pods on Slack
birdy
Slaaak
Stastbot
3. Facebook, with 32 huge messaging services
Facebook’s focus on artificial intelligence development
What is the “openness” of Facebook Messenger?
Facebook’s New Revenue Channel
M, the personal assistant that becomes even more powerful when connected to business accounts
How Facebook will make the most of WhatsApp, the largest messenger app
3.4 Microsoft’s Challenge to Create a “Conversation” Platform
Microsoft’s “Conversation as a Platfprm
Bot Framework
Cognitive (recognition) services
Machine Learning
How does Microsoft make the most of Skype, which has 300 million users?
“Tay,” “Rinna,” and “Little Ice
High School Girl AI Rinna
Xiao Ice” is active in China
AI technology with an emphasis on communication
3.5 How will voice-based personal assistants change our lives?
Amazon Echo’s “Alexa,” the robot of voice
Viv, a new personal assistant from the developers of Siri
Google has accumulated the most voice commands.
Following Google’s lead, Apple’s Siri is going open
What is the future Google is aiming for with the 3.6 most powerful AI?
The impact of AlphaGo, the artificial intelligence that surpassed humans
Google Assistant understands the context of conversations
Allo, a messaging app provided by Google
The combination of Allo and Google Assistant is the very future that chatbots are aiming for
Allo’s Assistant aims to be a universal bot
3.7 WeChat, Asia’s most powerful messaging service
WeChat is ahead of all messenger apps
Communicating with Customers on WeChat
What can other messenger apps learn from WeChat?
3.8 Chat Startups in Every Field
Operator, the next generation of messenger e-commerce app
Luka, an AI bot that uses restaurant search as its starting point
Magic+, an SMS-based service that can handle anything you ask it to
Pana, a chat-based travel agency
Vida, a personal coach for health

Part4: What are the initiatives of Japanese companies such as LINE?
4.1 LINE’s vision of “Closing the Distance
LINE brings people, businesses, and content closer together
The Impact of the Opening of the LINE Business Platform
Deployment of BOTs on LINE@
Promoting the use of LINE in physical stores
4.2 LINE’s “Business Connect” to connect brands and customers
Ichiro Panda” connecting with over 10 million people
Chatting
Job Search
Various useful functions
Appraisal by simply sending a brand photo via LINE
ZOZOTOWN is introducing LINE pay and linking IDs.
Yamato Transport to implement a parcel inquiry function using conversational AI
SBI Securities’ efforts to allow users to place stock orders via LINE
Stock Price Inquiry Service
Stock Order Service
LINE to enable 1-to-1 communication between companies and users
4.3 Will Chat Change Customer Service?
Manami-san, a chatbot that covers one-third of all inquiries
Why customer support and chatbots are a good match
Not good at answering questions in different genres with different question backgrounds
Visible benefit of “labor cost reduction
Are users looking for automated responses by chatbots?
4.4Domestic startups deploying chatbots and chat UI
Domestic interactive services using chat UI (1) Pecotter
Domestic interactive services using chat UI (2) “ietty” and “Heyajii
Getty – A way for real estate agency staff to communicate with potential customers
Heyajii – fully automated bots respond
Issues with Ietty and Heyajii
Services that allow you to create a chatbot – Artificial Intelligence Bot API
1. fully automated conversation API
2. automatic nomination identification API
3. character conversation API
4. Morphological Analysis API
BOT creation services specialized in specific fields
Introducing Chatbots into Existing Services
1. chatbot for “Wantedly,” a recruitment service
2. Chatbot for “relux,” a lodging service for luxury inns and hotels
Services with existing business assets have lower barriers to introducing chatbots
4.5 Interview with Mr. Matsushita, CEO of Brighttable, operator of “Pecotter
I came up with the idea of chat UI from Twitter. In the beginning, the president worked hard alone to find a restaurant.
Currently, bots are used for simple and immediate lay purposes. Focusing on the development of tools to support the following users.
The strength of the company is that users can chat with each other. Providing services that don’t end with “just tell me what you want” will create a brand.
Zeus will be used as a recommendation engine for other gourmet bot services.
The means of obtaining information is shifting from keyword searches to social media and chatbots.

Part5 The Future of the Internet Brought to You by Chatbots
5.1The Future of the Internet Brought to You by Chatbots
Chatbot Technology Deployment Has Just Begun
Artificial intelligence is driving the spread of chatbots
Currently, most of them are artificially incompetent
Development of artificial intelligence is the key
Data accumulation is essential for the development of artificial intelligence
How will chatbots evolve?
Which chatbot will be the only winner?
The emergence of universal bots that command and submerge bots
Everything will be converted into information and gathered on the Internet.
How do we access the vast amount of information?
Bots will be the window between the vast web and users
Effective web search requires “technology
The future of the Internet brought about by bots
Limitations of the “optimal solution” analogized from past data
User choices that will make bots grow
Afterword