Artificial Intelligence for Happiness of People

© Hitachi, Ltd. 2017. All rights reserved.
Kazuo Yano
Artificial Intelligence
for Happiness of People
PhD, IEEE Fellow
Corporate Chief Scientist
R & D Group, Hitachi, Ltd.

Changes We Face Now
Demand
21st Century20th Century
Supply
Profit
from
Result
Common infrastructure
for life & society
Diversified & short-
term needs
Massproduction
at factory
Customizationfor complex
& unforeseen change
Repeated standardized
work for scaling
Automatic customization &
adaptationforscaling (byAI)
1st productivityrevolution
Larger middle layer &
environmental load
2© Hitachi, Ltd. 2017. All rights reserved.
2nd productivityrevolution
Recoveryof middle-layer &
environment

What We Really Need is
To Face Changing, Diversified
& Unforeseen Futures

From Rule-Oriented
To Outcome-Oriented

Conventional
Rule-Oriented System
Computer
Program
Code
Business& Society
Input Output
Instruction Hypothesis
Rigid
Business& Society
Input Output
・Sensor
・Camera
・Robot
・Wearable
Big Data
Automatic
Learning from Facts
Emerging
Outcome-Oriented System
Artificial
Intelligence
Flexible
5

・Issue 1 Start from Upper Business Objective (Outcome)
・Issue 2 Requires Limited Data
・Issue 3 Embrace the Existing Systems
Business Requires

System
Existing
System
IT &
Facility
Outcome-Oriented System
H
ＡＩ
Hitachi AI
Technology
Monitoring
Control
7
Learns from data, adaptively grows,
and gets the results
◆1 Outcome & in/out defined by
humans
◆2 Without inputs of domain
knowledge nor logic
◆3 Added-on to existing system

Learning the Intelligence from Life
Alan Turing
(1912-1954)
John von Neumann
(1903-1957)
"Computing Machinery and Intelligence"
(1950)
"The General and Logical Theory of Automata"
(1948)
© Hitachi, Ltd. 2017. All rights reserved. 12

13
A
T
G
C
ＤＮＡ

14
Genetic Evolution
Bold
Neural Brain
Cautious X

Leap Learning
Input
Table
Function
Automatic Discovery of Unexpected Factors
(Patent Granted JP6067882 JP6082564)
Compound Factors
Seed
・Merchandize
・Shelf
・Employee
Extract Important Factors
Compound
Factors
Generation
Weight
Variables
1k～1M 3～1000
Seed 10～100
Input Output
15
Best of Both Worlds
Genetic Evolution Neural Brain

Checking & Packing Picking

System
Existing
WMS
AI-Based Warehouse ManagementSystem
A I
Hitachi AI
Technology/
H
Monitoring
Control
18
and provides the results
◆1 Outcome is defined as “total
work time”
◆2 No inputs of warehouse
knowledge nor logic
◆3 Added-on to existing WMS
system
WMS = Warehouse Management System

19© Hitachi, Ltd. 2017. Allrights reserved.
Artificial Intelligence Helps Workers
Optimize Work Orders
Workers Help Artificial Intelligence Input
a Variety of Data that Affect Outcome
8am 1am
AI-Based Warehouse Management System
Working & Learning Daily Added on Existing WMS
with 8% Productivity Enhancement

System
Existing
ID-POS
AI-Based Store ManagementSystem
A I
Hitachi AI
Technology/
H
Monitoring
Control
21
◆1 Outcome is defined as
“sales per customer”
◆2 No inputs of store knowledge
nor logic
◆3 Added-on to existing POS
system
POS = Point of Sales

Human vs. AI
Rule: Increase customer sales based on 10-day data
Artificial IntelligenceRetail Specialists(2 persons)
Approach
Interviewswith executive etc
Use of domain knowledge
Data only
No domain knowledge
Action
POP ads for focusitems &
item rearrangement
Employee presence at
hot spot Identified
Result No sales increase confirmed Sales per customer was
increased by 15%
Computer with big data enhances business performance

Hot-Spot Employee Presence Enhanced Sales
100% 115%

24
Railway

System A I
Monitoring
Control
Existing
Railway
Monitoring
System
ＡＩ-Based Railway Monitoring System
Hitachi AI
Technology/
Ｈ
◆1 Outcome is defined as
“Reducing Electricity”
◆2 No inputs of railway
knowledge nor logic
◆3 Added-on to existing
monitoring system

5 10 15 20 25 30 35 40 45 50
0
50
100
150
200
250
5 10 15 20 25 30 35 40 45 50
0
1
2
3
4
5
6
7
8
9
5 10 15 20 25 30 35 40 45 50
0
50
100
150
200
250
5 10 15 20 25 30 35 40 45 50
0
1
2
3
4
5
6
7
8
9
26
AI Discovers Low-Power Operation
■Electricity
532kWh
■Occupancy
30％
■Electricity
654kWh
■Occupancy
Full
OperatingA
OperatingB
Notch OFF
Distance
Distance
SpeedSpeed
Command
（Notch）
Command
（Notch）
Optimized Operation Enables 14% Power Saving (Annual Prospect)

PX
High Pressure Pump
（High Power）
Pressure Monitor
（Outcome） RO unit
for Mixed Water
RO unit
UF unit
Sea Water
Sewage
Mixed
Water
Desalinated
Water
Water Desalination System (Remix Water)
27
Water Plant: Electricity Saving
6% Saving in Electricity Cost

Kabu.comutilizes Hitachi's AI for stock lending.
1000 types of data allow Hitachi'sAI for pricing
as good as experts withmuch higher throughput.
Stock Lending
Kabu.com
News Release
16.7.25

Sumishin SBI Net Bankhas startedco-creation
with Hitachifor credit scoring for loan.
Credit Scoring for Loan
News Release
16.9.30

30
Fraud-TradeDetection at Tokyo Stock Exchange
News Release
17.2.28

ASKUL Corporation
News Release
16.6.28
16.9.30E-Commerce
Just-In-Time Delivery
with Logistics Big Data
Both by Hitachi AI Technology / H
Customized Marketing
with Purchase Big Data
EC Marketing Lab

Multi-PurposeAI
14 Domains
57cases
Hitachi AI Technology/H

33
Multi-PurposeAI has been Developed
Special-Purpose AI Multiple-Purpose AI
Independent Softwareis
Developed for each Problem
The Same Software is Used for
a Variety of Problems
・Retail Recommend
Order
Delivery
・Finance Recommend
Sales Assignment
FraudDetection
EmployeeEngagement
Example
・Retail Recommend
・Ads Web Search
・Telephone VoiceRecognition
・Communication MachineTranslation
・Medical Q &A
・Car Auto-Drive
Example

1. Outcome (KPI) Quantified
2. AI-assisted Actions Needed
3. Data for Conditions Recorded
Three Conditions

Evolution of AI
Level 1
Special-Purpose ＡＩ
Level 2
Multiple-Purpose AI
Learning
Data
Gathering
Execution
Data
Storage
Visualization
Decision
Optimization
Modeling
Application-Specific
Data
Gathering
Execution
Data
Storage
Visualization
Special
Purpose
Learning
Decision
Optimization
Modelling
General
Purpose
Independent

Level 3
Creative AI
Special
Purpose
General
Purpose
Actuation
(Drug/Software)
Creation
DialogScope
Evolution of AI
Learning
Data
Gathering
Execution
Data
Storage
Visualization
Decision
Optimization
Modeling
Independent
Level 4
General Intelligence(AGI)
Special
Purpose
General
Purpose
Learning
Data
Gathering
Execution
Data
Storage
Visualization
Decision
Optimization
Modeling
Independent
Actuation
(Drug/Software) Creation

From Rule-Oriented
To Outcome-Oriented

38
Physical Motion Walk
E-Mail
1S
1S
2Hz
0.8Hz
Wristband Sensor
Badge Sensor

39
0 24
2009
1
2
3
4
5
6
7
8
9
10
11
12
My Life has been Recorded for over 10 Years every 50 ms

My Life has been Recorded for over 10 Years every 50 ms
0 24
2009
1
2
3
4
5
6
7
8
9
10
11
12
Time
0 24 0 24 0 24 0 24
20132010 2011 2012 2014
0 24 0 24
2015 2016
0 24
0 24

41
OneYear
ＡＢＣＤ
0 24Hour 0 24Hour 0 24Hour 0 24Hour
"Life Tapestry(R)" of Four Persons

1,000,000 Days
Collected Human-BehaviorData Last 10 Years

HappinessSurvey
Diversity of Physical Motion
R=0.94
5 billion records:10 organizations,468 persons,5000 man-days
Diversity of Physical Motion is Happiness
HappinessQuestionnaire
20 questionson last week's
happiness, enjoyment,
solitude, sadness, etc.

44
Active
Non-Active
Large
Small
Diversity
of Motion Short Long
Time
MediumMedium
Hidden Pattern behind Happy People
Diversity in Motion Length (= Vitalization)

Happiness of People is
Measurable by Accelerometer

Productive
Happy Organization is

34%
SalesPerHour
Collective Happiness
＝ Diversity of Motion
(Daily Average)
Low High
0
0.5
0.8
Call Center Store
15%
SalesperCustomer（¥）
Low High
Development Project
17141312
5YearRevenue
0
4
8
12
PJ1 PJ2
PJ3
PJ4
(Daily Average)
(First 2 Month)

Human
Empower Human
A I
Hitachi AI
Technology/
Ｈ
Monitor
Assist
48
Support Organizational
Learning & Growing
◆Outcome is Collective
Happiness
◆DailyAdvice by AI for Better
Communications

49
Quantify Daily Group Happiness by WearingSensors

50
Daily activeness& successrate
Priority list
to support
Supervisor comment share
Recent
commentsMeeting Activeness Sales
Dashboard for Supervisor

Sales Success Rate 27%↑
Employee Happiness ↑

Bank of TokyoMitsubishiUFJ 15.9.25
AI-Based Big-DataAnalytics Assists
ProductivityEnhancementin BTMU
JapanAirline 15.10.5
JAL & Hitachi has Started Pilot Utilizing IoT &
AI for Employee-SatisfactionEnhancement

Happiness AI Application 53
Activation Visualization
Type Diagnosis & Advice
Evidences

Hitachi Utilizes ＡＩ
Finance, Sales, Manufacturing,HR
600 Sales Employees in Hitachi Group Use AI
（2016.6.27 News Release）

Happiness Measurement by Smart Phone
Attendees for Experiment in January is Welcome
(Search by “Happiness Planet”)
News Release, Hitachi
October 3rd 2017

releases you from rules,
makes you bloom
at the place you are placed

Artificial Intelligence for Happiness of People

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