Post on 30-Mar-2020
© 2017 NTT DATA Corporation
2017 NTT Data Business Briefing
(Technology and Innovation General Headquarters)
- Technological strategy for Global 3rd Stage -December 4, 2017
NTT DATA Corporation
Director and Executive Vice President
Head of Technology and Innovation General Headquarters
Tsuyoshi Kitani
2© 2017 NTT DATA Corporation 2
Global 3rd Stage
Overseas Sales Ratio
30%
Overseas Sales Ratio
50%Net Sales of over
¥2 trillion
Japan &
APACNorth
America
EMEA & LATAM
30%
30%
40%
Global
Business PortfolioGlobal 3rd StageTrusted Global InnovatorAspire to Global Top 5 Status
3
Global 2nd StageRecognized Global Brand 2
Global 1st StageIncreased Global Coverage1
NTT DATA: ASCENDRise and grow our global brand
FY2016 FY2018
3© 2017 NTT DATA Corporation 3
Drive global collaboration
Achieve top 10 ranking in priority markets
Exceed 100 clients with IT
spend > US$50M/¥5B*
Optimize Portfolio
NorthAmerica
30%
EMEA&LATAM
30%
Japan&APAC
40%
* Clients with annual sales of ¥5.0 billion or
more (Japan) or US$50 million or more
(outside Japan)
Global Top 5
Status
Trusted Global Innovator
NTT Group R&D assets &
foresight
Leverage innovative
technologies
R&D Excellence
Apply innovation to
transform business
Applied Innovation
Build trust over time
Long-Term Relationships
Apply technologies to help clients achieve
their business outcomes as their partner
TRUSTEDGLOBALINNOVATOR
5© 2017 NTT DATA Corporation 5
DX: Digital Transformation
90%
10%
Further improvement
of efficiency in
traditional areas
Digitalization
in traditional areas
60%
40%
Creation of new
business in digital areas
65%
35%
Accelerated
digitalization
2014
Traditional
2025E
Digital
2020E
[Predicted Transition
of IT Market Size]
Stream Ⅰ
StreamⅡ
StreamⅢ
SI trend has changed, and DX is advancing
As an SIer, there are three streams we must follow
Main battlefield
of users' self-
manufacture
6© 2017 NTT DATA Corporation 6
Perpetuation, reutilization, and value
addition of existing assets through
modernization
Value addition by utilizing existing data and
external collaboration through API
Legacy Digital
Integration
Complete streamlining of traditional system
development, operation and maintenance
Breakaway from a labor intensive business by
automating an entire system lifecycle
System Lifecycle
Automation
Creation of new innovative services
utilizing digital technologies such as
AI/IoTDigital Capability
Characteristics of the Streams
Stream Ⅰ
Particularly in StreamⅡ, collaboration with various partners is
essential
Stream Ⅱ
Stream Ⅲ
7© 2017 NTT DATA Corporation 7
NTT DATA Core Methodology
Global integration of next-generation development standards. In addition, consolidation
of tools to prepare for production technologies which help to provide high-quality
services worldwide
Include such development methodologies as
SAP, Oracle, Salesforce, etc., and expand
sequentially
Integrate next-generation development
standards globally, and put them together in a
knowledge database
Promote and deploy globally
Launch in EMEA and APAC regions
Development
Methodology & Tool
Stream
ⅠStream
ⅡStream
Ⅲ
8© 2017 NTT DATA Corporation 8
Development Automation
<Actual application (FY2016)>
Number of applications:
1000 or more
Automation application rate: 97%
Shortened period
Stream
ⅠStream
ⅡStream
Ⅲ
Promote development automation initiatives throughout processes
Shorten development periods and improve productivity
Co
nc
ep
t o
f
De
ve
lop
me
nt
Au
tom
ati
on
Requirements
definitionManufacturingDesign Testing
Requirements
definitionDesign Testing
Manufactur-
ing
Improved productivity
9© 2017 NTT DATA Corporation 9
Main
Fra
me
Infrastructure
Traditional Digital
Global next-generation development standards
Optimized Utilization of
New/Old IT Resources
DX-supported Integrated Development Cloud
Innovative
production
technologies
Utilization
of
cutting-edge
technologies
Three actions to support our client business innovation
Legacy
Digital
Integration
Digital
adaptation
Stream
ⅠStream
ⅡStream
Ⅲ
10© 2017 NTT DATA Corporation 10
Promote Introduction of the Integrated Development Cloud
Continue efforts to improve business agility and reduce costs by
deploying the Integrated Development Cloud inside/outside Japan
aggressively
Expand application to the global
development environment
Application status
of the integrated
development Cloud
JapanEurope China/APAC North America
Deploy to clients’ commercial
environment
Approx.
100 cases
Start of utilization
Stream
ⅠStream
ⅡStream
Ⅲ
OpenCanvas,
etc.
11© 2017 NTT DATA Corporation 11
Legacy Digital Integration
Step-by-step digitalization support using existing
systems
Stream
ⅠStream
ⅡStream
Ⅲ
Legacy is
minimized
naturally
Don’t let
legacy
bloat
API
API Digital
Legacy is
gradually
eliminated
Digitally armed Digital erosion Digital shift
Effective utilization of assets Legacy to Open Cloud operation
Digital assessment
with APM*
Extract API from Legacy
Micro services or
containerization to separate functions
Seek for diversified data utilization with
transparent data integration
AP packaged with container
Faster release cycle
Improved portability (AnyCloud)
System analysis AP utilization AP utilizationPlatform
optimization
Development
operation method
Data
democratization
*Application Portfolio Management
12© 2017 NTT DATA Corporation 12
Provide APIs Linking Fintech with Financial Institutions
NTTDATA Fintech
Financial
institution
Enterprise
API
Our case
Stream
ⅠStream
ⅡStream
Ⅲ
Disclose enterprise systems for use
in a range of new services
13© 2017 NTT DATA Corporation 13
Data Democratization
Data source Data lake
Businessusers
Users
Collect, combine, convert, form, and supplement
Analysts
Scientists
Utilized platformData itself
Effective utilization
of unstructureddata
Informati-zation
Data hub supporting
bucket brigade
Scalable and integrateddata store
Processing platform tolerating
diversified data utilization
Sensitive information
secured
Respond to the ever-changing demands of diversified
business users
Maintain freshness and purity of diversified data
throughout data lifecycle
Stream
ⅠStream
ⅡStream
Ⅲ
Make data always available from both "data itself" and “utilized
platform“ aiming towards data democratization
14© 2017 NTT DATA Corporation 14
Design
Creation of InnovationStream
ⅠStream
ⅡStream
Ⅲ
Strategy
Technology
Business
strategy
planning
Client
experience
value creation
Implementation of
new services
Professional Professional area
Agile
developer
Agile(DevOps)
DX engineer
(SMACS +
new
technology)
UX Frontend Technology
Big Data Analytics
AI/IoT
Blockchain
Cloud based SI
Automation(RPA)
Build a DX delivery framework with Agile + Digital capabilities for
"business strategy x UX design"
Process Task
Ideation Design thinking
Concept design Storyboard
UX design Client journey
IT design Wire frame
15© 2017 NTT DATA Corporation 15
Build up a structure for creating global innovation through PoC (*) with clients,
horizontal deployment of solutions, and collaboration with research institutions
Innovation Platform(knowledge sharing, development of innovation creation culture,
delivery of cutting edge technologies)
Collaboration with world's most
advanced research institutions
Innovation Hub Functions
Global horizontal
deployment of
powerful solutions
North America Innovation Hub
EMEA Innovation Hub
Japan Innovation Hub
APAC Innovation Hub
China Innovation Hub
Promotion of
client PoC
(*) PoC : Proof of Concept
NTT DATA Global Innovation HubStream
ⅠStream
ⅡStream
Ⅲ
16© 2017 NTT DATA Corporation 16
NTT DATA Exponential
The Open
Innovation Business
Contest
Boston Exponential Hub Global Hackathon
Participants
UK, Germany, Italy, Romania,
everis, NDBS/intelligence,
Services(NA&India), Japan
A proposal for social problem resolutions
by analyzing citizens' opinions with AI or
using a payment system with Blockchain
(Spain)
Contests held at 15 cities
Previous highest award winner
Final
(Tokyo)
Mar. 22, 2018MIT media lab
Planned a collaboration
project with prospective
startups
Final
(Barcelona)
Nov. 20, 2017
264 teams applied from all over
the world
14 teams competed in the final
Autonomous Coaching Robot
Stream
ⅠStream
ⅡStream
Ⅲ
Collaboration with universities and venture businesses helps to
promote creation and development of innovation
© 2017 NTT DATA Corporation 17
Utilization of cutting-edge
technologies
- AI/IoT/Blockchain/Security -
18© 2017 NTT DATA Corporation 18
Economical Impact of Main Technologies
IoT
3 to 6 trilliondollars
Automated
intellectual labor (AI)
5to 7trilliondollars
Japan's
national budget
1 trillion
dollars
Advanced
robot
technologies
2 to 4 trilliondollars
Self-driving
technologies
0.2 to 2trilliondollars
*“Disruptive technologies: advances that will transform life, business, and the global economy”
http://www.mckinsey.com/business-functions/business-technology/our-insights/disruptive-technologies
In 2025, economical impact of AI and IoT technologies will
exceed the national budget of Japan
19© 2017 NTT DATA Corporation 19
Service area Social infrastructure
area
Middle/back-office
services
including investigation
Business
sophistication
area
Front office services
including
client support
Touch point
area
Prediction and sign
detection with a
large-scale
data analysis
Complex and
sophisticated
analysis area
AI Focus Areas
20© 2017 NTT DATA Corporation 20
Sophisticated Point of Contact
FAQ contents
ID Q A
1
I got a flat tire
An emergency kit is stored in the trunk
2 … …
It looks like I got a
nail in a tire
My tire burst
while driving
I got a flat tire
Judgment of sameness
Context vector-
based
judgment model
Machine learning
Japanese analysis
Text corpus (also including technical terms)
CGM document/contact center reception log, etc.
Capture diverse expressions
Understanding the intent of a user's question and assisting in providing a
correct answer help implement a flexible touch point support (using NTT
Group's AI technology " ")
Large-scale semantic
system
Understand the
same context
2: Concrete
3: Subject
4: People362: Organization
389: Location
1000: Abstract
372: Group/party
1: Noun
Client
support
Back
office
Sign
detection
21© 2017 NTT DATA Corporation 21
Deployment of Operation Automation Solution
ジョブA 承認ジョブ ジョブC
承認画面
メール
承認依頼
承認画面を表示
承認 / 否認 を選択
承認者
人の作業を含めた作業フローを記述して自動実行
オペレータ
Follows a scenario to operate Windows
automatically
RBA tool
A tool used to define, execute, and
manage a regular operation process for
an operator or a system using a
workflow
RPA tool
A tool used to streamline/automate
mainly operator services by utilizing a
rule engine, machine learning, and AI
Reduce operational tasks using RBA and RPA tools
Client
support
Back
office
Sign
detection
Operator
Job AApproved
job Job C
Approval
request
Select Approve or
Refuse
Approval
screen
Approver
Describe work
flow including
human work
and run
automatically
Display Approval
screen
Windows operation robot
22© 2017 NTT DATA Corporation 22
Smart Alert Solution
Ave
rag
e b
loo
d p
res
su
re
Currently,
alert takes place
here for the first time
Acute hypotension
Septic shock
Hypoxemia
Monitors vital sensor
data full-time
Predicts a symptom and alerts if
medication or medical treatment
is required.
Develop a predictive model indicating whether the patient might
enter a critical condition after two hours or not.
Predicts status after
two hours
Detects a sign of a patient's deterioration in real time
Client
support
Back
office
Sign
detection
23© 2017 NTT DATA Corporation 23
Air Traffic Flow Management
Multi-agent
Simulation
Performs what-if analysis
If the control area is changed・・・ If a method of runway operation is
changed・・・ If a runway is added・・・ If additional air lane is laid out・・・
etc.
Circling when traffic is
busy at the airport
Interval adjustment
with vectoring
Provides a field for sensitivity analysis and
bottleneck verification
Visualizes
Calculation
results
Reproduces a behavior of an aircraft in diversified scenarios and performs
operation verification
Client
support
Back
office
Sign
detection
24© 2017 NTT DATA Corporation 24
IoT Focus Area
Se
cu
rity
ma
na
ge
me
nt
Application
Cloud
platform
NW
Device
Key Technologies
• Fast accumulation/access to large-
scale sensor data
• Functional collaboration between API
and device
Edge side
platformPla
tfo
rmComponents of
IoT Service
• Detection of unauthorized use of IoT
devices
• Blocking unauthorized IoT devices
• Edge computing
Support for large-scale data processing, edge computing,
and IoT security
25© 2017 NTT DATA Corporation 25
Cloud
Edge
Vehicle's life log
Edge ComputingChanges processing dynamically
Edge Server
Connected Car
Edge computing to realize large-scale data processing
26© 2017 NTT DATA Corporation 26
Our operations have been reinforced to leverage blockchain technology,
accelerating initiatives to co-innovate with clients and help transform
business in arenas such as trade finance
Co-Innovation
Promote PoCs (*) to which
Blockchain technology is applied.
15 cases including overseas have
been completed, and 20 cases are
ongoing
Consortium established with 13
companies representing each
industryContribute to more efficient business/shortened lead time
(*) Proof of Concept: Examination of a prototype system
Exporter Importer
Purchasing (notifying) bank Issuing bank
Blockchain
Network
Transportation and
customs-related companyInsurance company Import and export
authority
Blockchain utilization promotion team (consisting of 150
members)
Blockchain
27© 2017 NTT DATA Corporation 27
Trend in Security Threats
Security threats are increasing and getting more sophisticated.
It is important to have countermeasures in place before incidents occur.
[Source] Status of reports and consultations regarding computer virus / unauthorized access [2nd Quarter (April – June) of FY2017]
(IPA)https://www.ipa.go.jp/security/txt/2017/q2outline.html
Ransomware-related attacks are on
rising
Attack by WannaCry
Recent trend
• From crime for pleasure
attack to
fraud and exploitation of
money, which is
utilitarian crime
• Attacks are
more sophisticated
than ever
• Increased attacks
targeting specific
companies or
organizations
Attack to
IoT devices
Invisible threat
Ransomware
Targeted attack
Unauthorized
remittance
SQL injection
Phishing scam
Exposure virus
Falsified Web pages
P2P epidemic
Spread of Web service
Spread of
InternetSpread of PCs
Jan.-Mar.
2017Apr.-Jun.
2017
28© 2017 NTT DATA Corporation 28
Unauthorized Device Detection / Isolation Technologies
不正IoTデバイス
APサーバ
IoTデバイス
学習・検出サーバ
判定
機械学習検出ルール
判定結果によってアラート
通信ログ
正常通信ログ
Can easily support growing
number of IoT devices
Up-to-dateCan detect unknown attacks with machine
learning
Easy IntegrationBy simply adding a learning/detection server to a
system
Easy ConfigurationNo need to define detection rules because
communication is automatically learned
Detect and block threats by unauthorized access or malware infection
including unknown attacks to an IoT system
AP server
No
rma
l co
mm
unic
atio
n lo
g
Learning/detection
server
IoT device
Machine
learning
Co
mm
un
ication
lo
g
Detection rule
Judge
Unauthorized IoT device
Alert and block
by judgment
results