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WIFUTURE Conference - Artificial Intelligence and ChatBots - Milan
1. @pieroleo
Building a Chatbot is the tip of an iceberg, a new relation
between humans and machines is coming to town
Pietro Leo
Executive Architect - Chief Scientist of IBM Italy Research and Business Unit
IBM Academy of Technology Leadership
Head of IBM Italy Center of Advanced Studies
Transforming Data into Wisdom
@pieroleo
2 Febbraio in We Are Social
12. @pieroleo
Legacy Layer
Back-End
Web Server
Web Browser - Client
Application
Server
Multi-tier Architecture Model emerged to build
and support e-business
Client Application Code
Static Application Code
Application Services
Integration Services
= BP/Client
CODE & DATA
= IBM Layers
= Tier 1
= Tier 2
= Tier ....
= Tier N
14. @pieroleo
2008
"Neither RedBox nor Netflix
are even on the radar screen in
terms of competition. It's more
Wal-Mart and Apple”
Blockbuster CEO, Jim Keyes, Dec 2008
17. 17
You shared
your position
with me and
can guess
your mobility
need.
I can take you
where you
need to be
Just enjoy
your new
experience
. Stay safe
as in your
home
I know
what is
needed for
you, even
before you
order it
Please, come
with me and
stay by me.
I know your
content I can
take care of all
your digital life
21. 21
Image
source:
http://personalexcellence.co/blog/ideal-‐beauty/
City
Lifestyle
ZIPcode
Costal
vs
Inland Marital
status
Generation
Location
Family
Size
Gender
Income
Level
Competitors
Age
Loyalty
&
Card
Activity
Revenue
Size
Life
Stages
Eductation
Legal
status
Sector
Industry
Subscriptions
Date on Site
Wish List
Size of
Network
Check-ins
App usage duration
Number of Apps on Device
Deposits/Withdrawals
Device Usage
Purchase History
Following
Followers
Likes
Number of Hashtags used
History of Hashtags
Search Strings entered
Sequence of visits
Time/Day log in
Time spent on site
Time spent on page
Frequency of Search
Videos Viewed
Photos liked
22. 22
Image
source:
http://personalexcellence.co/blog/ideal-‐beauty/
City
Lifestyle
ZIPcode
Costal
vs
Inland Marital
status
Generation
Location
Family
Size
Gender
Income
Level
Competitors
Age
Loyalty
&
Card
Activity
Revenue
Size
Life
Stages
Eductation
Legal
status
Sector
Industry
Subscriptions
Date on Site
Wish List
Size of
Network
Check-ins
App usage duration
Number of Apps on Device
Deposits/Withdrawals
Device Usage
Purchase History
Following
Followers
Likes
Number of Hashtags used
History of Hashtags
Search Strings entered
Sequence of visits
Time/Day log in
Time spent on site
Time spent on page
Frequency of Search
Videos Viewed
Photos liked
Sentiment
Tone
Euphemisms
Hedonism
Extroversion
Face Recognition
Openess
Colloquialism
Reasoning Strategies
Language Modeling
Dialog
Intent
Latent Semantic Analysis
Phonemes
Ontology Analysis
Linguistics
Image Tags
Question Analysis
Self-transcendent
Affective Status
30. 30
BIG DATA
DATA
WISDOM
Knowledge
Information
Technology is no more
supporting every kind of
private and public
organizations, it is becoming
part of them.
Machine Intelligence
Is becoming the key
ingredient.
Analytics
Cloud Computing
Data Science
Mobile
Social
Digitalization
Technology
Business
Robotics
Artificial Intelligence
Business & Tech NexusThings
34. The way to
find information
The way to
make better decisions
35. Toward a Precise Decision Making to reduce the wasteful
spend as well as the risk in every industry
New Information Technology challenge is now about the
possibility to expand our WISDOM options
Watson
37. @pieroleo
IBM Cognitive Computing by numbers in IBM
45
Countries
100+
Applications
already in market
6.000
Researchers
& Specialists in IBM
8
Languages
Learned by Watson
200
Universities
offering Watson courses
500+
Partners
Powered by Watson
API & Hybrid
Cognitive
Frameworks
20
Industries
80.000
Developers
building with Watson
3 Industrial Business
Units
Watson Health
5.000 Employees, 6B$
investment
Watson Internet
Of Things
1000 Researchers and
Specialists, 3B$
investment
Watson Finantial
Services
200M
Lives
60M
Patient
Records
30B
Images
1.2M
Mediacal
Abstracts
60+
Solutions
39. Ecosystem
and Partners
Industry
Solutions
Client
Solutions
IBM
Provided
Data
Private
Client
Data
IBM Watson Innovation platform for Cognitive Business
Financial
Watson Health
Watson Financial Service
Watson Internet of Things
Hybrid Watson
Frameworks
Watson
Services
Comms Industrial Distribution Financial Public ServicesHealth
Fraud Analysis
Corp Intelligence
Claims Processing
Digital Agent
Call Center Advisor
Public Safety
National Security
Shopping Advisor
Sales Automation
Supply & Logistics
Omni-Channel Ops
Product Safety
Field Service Mgt
Geology Advisor
Digital Agent
Theme Park Exp
Call Center Ops
CIO Dashboard
Corp Intelligence
M&A Advisor
Cyber Security
Life
Sciences
Oncology
Clinical Trial
Matching
AssistantCognitive Tools Collaborator Coach Mediator
Types of Cognitive Systems
Decision
Making
41. 1-800 Flowers
Live at: https://www.1800flowers.com/gwyn-1800flowers?flws_rd=1 Live at: https://www.thenorthface.com/xps
GWYN (Gifts When You Need), a Watson-powered personal
concierge designed to help customers find the perfect gift
The North Face
A personal Shop Assistant that can drive you to select the
most appropriate Jacket
Virtual Agents: Sales Assistants
42. Cognitive Mobility
• Cognitive mobility
platform to improve
the driving experience
for millions of
consumers
• Watson to connect
consumers with such
brands as
ExxonMobil,
Glympse,
iHeartRadio,
Mastercard and
Parkopedia
43. Weather is
the secret to understandinghow
consumers feel…
A brand able to gain a
spot in the daily
routines and rituals of
consumers creates a not
only a relation but a
deep intimacy with
them
43
Cognitive Ads
45. @pieroleo
Hilton And IBM Pilot “Connie”
The World’s First Watson-
Enabled Hotel Concierge
Panasonic and
IBM Develop a
Cognitive
Personal
Concierge
46. @pieroleo
Top outcomes from cognitive initiatives vary by industry
Finance
49% Increased market agility
46% Improved customer service
43% Increased customer
engagement
43% Improved productivity &
efficiency
42% Improved security & compliance,
reduced risk
Retail
56% Personalized customer / user
experience
56% Increased customer engagement
56% Improved decision making & planning
56% Reduced costs
55% Improved customer service
Health
66% Accelerated innovation of
new products / services
66% Improved productivity &
efficiency
64% Improved security & compliance,
reduced risk
62% Reduced costs
59% Improved customer service
Manufacturing
64% Improved decision making
& planning
58% Improved productivity &
efficiency
54% Improved security & compliance,
reduced risk
52% Improved customer service
49% Enhanced the learning experience
Government/Education
54% Personalized customer / user experience
50% Improved customer service
37% Improved decision making & planning
36% Improved productivity & efficiency
33% Increased customer engagement
Professional Services
40% Reduced costs
36% Personalized customer/user
experience
36% Improved customer service
36% Expanded ecosystem
34% Accelerated innovation of new
products / services
% achieving outcome with cognitive
Source: An IBM study of over 600 early cognitive adopters - 2016 Full report: http://www.ibm.com/cognitive/advantage-reports/
48. Ecosystem
and Partners
Industry
Solutions
Client
Solutions
& products
IBM
Provided
Data Publically
Sourced
Data
Partner
Provided
Data
Private
Client
Data
IBM Watson Innovation platform for Cognitive Business
Watson Health
Watson Financial Service
Watson Internet of Things
Hybrid Watson
Frameworks
Cognitive
Services - API
Data
Knowledge
Wisdom
49. Legacy Layer
Catalogue of all kind of high level Services
Cognitive Services
Multimodal Clients
Cognitive
Platform
IBM: A cognitive solutions and cloud platform company
We are delivering products and services, processes and operations, all infused with cognitive
capability.
Cognitive Application Front-end
Cognitive Assistant
Backend and Services orchestrator
Application
Services
Cloud Public-Dedicated-Local Services
= BP/Client CODE,
DATA & TRAIN
= IBM Platform Layers
& DATA
= Tier 1
= Tier 2
= Tier N
Hybrid
Cloud
Platform Exogenous Data
sources
= Tier ..
Legacy Layer
Back-End
Web Server
Web Browser - Client
Application
Server
Client Application Code
Static Application Code
Application Services
Integration Services
Circa, 2000 Today, 2017
= BP/Client
CODE & DATA
= IBM Layers
Your Services
51. >30 Services Data & Analytics
>10 Services Internet of Things
>30 Services Cognitive
& Artificial Intelligence
3 Integration Services
>10 DevOps Services
5 App Security Services>20 Application Services
>20
Services
Network
Storage Security
Compute
https://console.ng.bluemix.net
>120
Services
IBM Cognitive Platform on Cloud
52. Network Compute>20
Services
Storage Security
>30 Services Data & Analytics
>10 Services Internet of Things
>30 Services Cognitive
& Artificial Intelligence
3 Integration Services
>10 DevOps Services
5 App Security Services
https://console.ng.bluemix.net
>20 Application Services
ChatBot
>120
Services
Building a Chatbot with IBM Cognitive Platform on Cloud
53. IBM Watson
powered
Chat Bot
Dialogues
Conversation
Intents
Entities
Emotion
Language Tone
Social propensities
Language styles
Translate
Conversational
News
Patents
Custom Translation
Voice synthesis
Expressive Voice
Voice Transformation
Custom pronunciations
Speech-to-text
Telephony
Broadband
Keyword Spotting
Language Deep
Understanding
Keyword Extraction,
Entity Extraction,
SentimentAnalysis,
Concept Tagging,
Relation Extraction,
Taxonomy Classification,
Author Extraction…..
Custom Analysis
VisionFace Recognition
Image Classification
Custom eyes
Image Similarity
Personality
5Five Personality Traits
Needs
Values
With IBM Bluemix you can build infinite chat bots use cases mixing hundreds of skills and sub-skills
News Data
(300k daily from 70k sources)
Twitter Data
Weather Data
(Billions of requests)
Machine Intelligence
https://console.ng.bluemix.net
Reasoning
Your Data
54. https://www.ibm.com/watson/developercloud/conversation.html
•Build Facebook, Twitter, Slack and other messaging and social network platform bots
that let users interact instantly
•Add a chatbot to your website that can respond to frequently asked questions from
customers
•Allow customers to control your mobile app using natural language virtual agents
https://www.youtube.com/watch?v=1rTl1WEbg5U
Brazilian
Portuguese,
English,
French,
Italian,
Spanish,
German,
Traditional Chinese,
Simplified Chinese,
Dutch.
55. News Data
(300k daily from 70k sources)
Twitter Data
Weather Data
(Billions of requests)
Machine Intelligence
https://console.ng.bluemix.net
Conversation
Intents
Entities
Dialogues
Language Tone
Personality
TranslateVoice synthesisSpeech-to-text
Expressive Voice
Voice Transformation
Conversational
News
Patents
Custom Translation
5Five Personality Traits
Needs
Values
Language Deep
Understanding
Keyword Extraction,
Entity Extraction,
SentimentAnalysis,
Concept Tagging,
VisionFace Recognition
Image Classification
Custom eyes
Image Similarity
Reasoning
Custom pronunciations
Emotion
Social propensities
Language styles
Telephony
Broadband
Keyword Spotting
Relation Extraction,
Taxonomy Classification,
Author Extraction…..
Custom Analysis
Your Data
Building an embodied chatbot for children
57. Source: https://ibmtjbot.github.io/
I'm an open source project
designed to help you access
Watson Services in a fun way.
You can 3D print me or laser
cut me, then use one of my
recipes to bring me to life!
https://www.ibm.com/watson/developercloud/project-intu.html
You can build your own toy!!!
67. https://www.partnershiponai.org/
Cognitive Principles
1. Purpose
2. Transparency
3. Skills
Source: https://www.ibm.com/ibm/responsibility/ibm_policies.html
The purpose of AI and cognitive systems developed and
applied by the IBM company is to augment human
intelligence.
The IBM company will make clear: a) When and what
purpose of a cognitive solution;; b) Major Data Used;; c)
Protect Customer Data & Insights ownership.
IBM company will work to help students, workers and
citizens acquire the skills and knowledge to engage safely,
securely and effectively in a relationship with cognitive
systems, and to perform the new kinds of work and jobs
that will emerge in a cognitive economy.
69. 69
Which is the future
of chat bots?
Our personal BOTS will buy for us,
#Brands should convince them NOT
us! It will be more and more a bots
vs bots marketing battle!
@pieroleo