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The better the qu estion. The better the an swer.
The better the world works.
Vocal Assistant
Build Natural and Rich Conversation Experiences
Antimo Musone - ICT Manager
https://www.linkedin.com/in/antimo-musone – antimo.musone@it.ey.com
WEBINAR 29-03-2018
2
Indice
►Questions
►Mobile Voice Study
►Vocal Design
►DialogFlow
►Google Assistant
►Demo
9
The Mobile Voice Study
Use voice search more than once a day
55 % of teens and 41 % of adults
70% of requests ( in one day) are in natural language
10
Teens
Adults
11
When do we use voice search?
Teens
Adults
12
► Natural Language?
Refers to the language spoken by people,e.g. English, Japanese, as opposed
to artificial languages, like C++, Java, etc.
► Natural Language Processing?`
NLP is the branch of computer science focused on developing systems that
allow computers to communicate with people using everyday language.
NLP is related to human-computer interaction.
NLP is a subfield of artificial intelligence. Devotedto make computers
“understand” statements written in human language.
NLP ( Natural Language Processing )
13
Where does it fit in the Classification of AI?
Computers
Artificial Intelligence AlgorithmsDatabases Networking
Robotics SearchNatural Language Processing
Information
Retrieval
Machine
Translation
Language
Analysis
Semantics Parsing
14
Building Voice
15
GUI != VUI
Design Develop Deploy
Building Steps
16
Top 3DesignTips
17
Create apersona.1
18
Create apersona.
Persona is conveyedthrough:
Tone
Word and phrase choices
Functional design
Style Technique
Voice
...and based on:
Your user population and their needs
The imagery & qualities associated with
yourbrand
19
Thinkoutside the box.Literally.2
20
code code code code code
code code code code
code code “dialog string” code
code code code
code code code code code
code “dialog string” code code
code code code code code code code
code code code
code code
code
code code
code
code
code code code
code “dialog string” code code code
code code
code code code
code code code code code code code code
code code code code code code code code
code
STRUCTURE + CODE
21
code code code code code
code code code code
code code “dialog string” code
code code code
code code code code code
code “dialog string” code code
code code code code code code code
code code code
code code
code
code code
code
code
code code code
code “dialog string” code code code
code code
code code code
code code code code code code code code
code code code code code code code code
code
STRUCTURE + CODE
22
STRUCTURE + CODE
23
In conversations, there are no“errors”.3
24
real life
user
conditions {
25
Design
01 Create Persona
02 Think out of Actions
03 Context
04 Speech Errors
05 Think Big
Design Steps
26
Develop
01 Create an DialogFlow/API.AI agent
02 Create intents & entities
03 Define User says phrases
04 Define Actions & Responses
05 Test IT!
Development Steps
27
Assistant app
App Model
{ conversation
api response }
user input
app
response
{ conversation
api request }
28
Speech to
Text,
NLP,
Knowledge
Graph, ML,
Ranking,
User Profile,
Text to Speech
“Ok Google, talk to Hossam”
Speech to Text
Text to Speech
Invoke “Hossam” Action“Sure, here’s Hossam”
“It’s that time of a year again, I
would like some help with tax”
“Sure, here’s Hossam.
Hi, I am your personal financial
advisor. How can I help you today?”
“What type of tax would you like to
save?
”
Cloud , Conversation API
Actions SDK
Device
Dialogflow/api.ia
CloudAPI
«Hossam,Personal Financial Advisor»
29
01 Create a new cloud project
02 Register your Conversation Action
03 Deploy your actions
04 Confirm your deployment
05 Interact with your Conversation Action
Deploy
Deploy Steps
“
Intent Matching —
Entity Extraction —
@
32
Cooking Assistant
34
DialogFlow
35
DialogFlow
36
DialogFlow
37
●
●
●
●
DialogFlow
38
DialogFlow
39
DialogFlow
41
DialogFlow
42
DialogFlow
44
8
Meet the Google Assistant
Ask it questions. Tell it to do things. It’s your own
personal Google, always ready to help.
45
Ready to
help across
100M+ devices
46
Talk
Tap
Type
INPUTS
47
48
Location & Context awareness
Knowledge Graph
Identity
Payments
Structured Data Markup
Natural Language Understanding
Machine Learning
Individual speech recognition
Built on cutting edge Google tech
49
Helping you get things done
Enjoy music & movies
Listen to news
Control devices around your home
Communicate with others
And more use cases through
Actions on Google
Order goods & services
52 Presentation title
► Demo
55
Ok Google, talk
to __________.
Ok Google, connect
me with __________.
Ok Google, get
__________.
Test your Actions
{ Action Name } { Action Name }
{ Action Name }
56
Thanks
Presentation title
► Questions?

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Antimo Musone - Vocal Assistant - build natural and rich conversational experiences

  • 1. The better the qu estion. The better the an swer. The better the world works. Vocal Assistant Build Natural and Rich Conversation Experiences Antimo Musone - ICT Manager https://www.linkedin.com/in/antimo-musone – antimo.musone@it.ey.com WEBINAR 29-03-2018
  • 2. 2 Indice ►Questions ►Mobile Voice Study ►Vocal Design ►DialogFlow ►Google Assistant ►Demo
  • 3. 9 The Mobile Voice Study Use voice search more than once a day 55 % of teens and 41 % of adults 70% of requests ( in one day) are in natural language
  • 5. 11 When do we use voice search? Teens Adults
  • 6. 12 ► Natural Language? Refers to the language spoken by people,e.g. English, Japanese, as opposed to artificial languages, like C++, Java, etc. ► Natural Language Processing?` NLP is the branch of computer science focused on developing systems that allow computers to communicate with people using everyday language. NLP is related to human-computer interaction. NLP is a subfield of artificial intelligence. Devotedto make computers “understand” statements written in human language. NLP ( Natural Language Processing )
  • 7. 13 Where does it fit in the Classification of AI? Computers Artificial Intelligence AlgorithmsDatabases Networking Robotics SearchNatural Language Processing Information Retrieval Machine Translation Language Analysis Semantics Parsing
  • 9. 15 GUI != VUI Design Develop Deploy Building Steps
  • 12. 18 Create apersona. Persona is conveyedthrough: Tone Word and phrase choices Functional design Style Technique Voice ...and based on: Your user population and their needs The imagery & qualities associated with yourbrand
  • 14. 20 code code code code code code code code code code code “dialog string” code code code code code code code code code code “dialog string” code code code code code code code code code code code code code code code code code code code code code code code “dialog string” code code code code code code code code code code code code code code code code code code code code code code code code code STRUCTURE + CODE
  • 15. 21 code code code code code code code code code code code “dialog string” code code code code code code code code code code “dialog string” code code code code code code code code code code code code code code code code code code code code code code code “dialog string” code code code code code code code code code code code code code code code code code code code code code code code code code STRUCTURE + CODE
  • 17. 23 In conversations, there are no“errors”.3
  • 19. 25 Design 01 Create Persona 02 Think out of Actions 03 Context 04 Speech Errors 05 Think Big Design Steps
  • 20. 26 Develop 01 Create an DialogFlow/API.AI agent 02 Create intents & entities 03 Define User says phrases 04 Define Actions & Responses 05 Test IT! Development Steps
  • 21. 27 Assistant app App Model { conversation api response } user input app response { conversation api request }
  • 22. 28 Speech to Text, NLP, Knowledge Graph, ML, Ranking, User Profile, Text to Speech “Ok Google, talk to Hossam” Speech to Text Text to Speech Invoke “Hossam” Action“Sure, here’s Hossam” “It’s that time of a year again, I would like some help with tax” “Sure, here’s Hossam. Hi, I am your personal financial advisor. How can I help you today?” “What type of tax would you like to save? ” Cloud , Conversation API Actions SDK Device Dialogflow/api.ia CloudAPI «Hossam,Personal Financial Advisor»
  • 23. 29 01 Create a new cloud project 02 Register your Conversation Action 03 Deploy your actions 04 Confirm your deployment 05 Interact with your Conversation Action Deploy Deploy Steps
  • 24. “ Intent Matching — Entity Extraction — @
  • 25.
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  • 37.
  • 38. 44 8 Meet the Google Assistant Ask it questions. Tell it to do things. It’s your own personal Google, always ready to help.
  • 41. 47
  • 42. 48 Location & Context awareness Knowledge Graph Identity Payments Structured Data Markup Natural Language Understanding Machine Learning Individual speech recognition Built on cutting edge Google tech
  • 43. 49 Helping you get things done Enjoy music & movies Listen to news Control devices around your home Communicate with others And more use cases through Actions on Google Order goods & services
  • 44.
  • 45.
  • 47. 55 Ok Google, talk to __________. Ok Google, connect me with __________. Ok Google, get __________. Test your Actions { Action Name } { Action Name } { Action Name }