DAO UTokyo 2025 DLT mass adoption case studies IBM Tsuyoshi Hirayama (平山毅)

DAO UTokyo 2025
東京大学情報学環 ブロックチェーン研究イニシアティブ
https://utbciii.com/2024/12/12/announcing-dao-utokyo-2025-conference/
Session 1 :DLT mass adoption
IBM Tsuyoshi Hirayama (平山毅)

1. IBM Sustainability Software / © 2024 IBM Corporation 1
Session 1:
DLT mass adoption
case studies

2. SelfIntroduction
Tsuyoshi Hirayama
IBMJapanTechnology
Ecosystem Engineering Japan GEO Lead
Linux Foundation
Decentralized Trust Japan Chapter Lead
Information Processing Society of Japan
Digital Practice Manager
Kyoto University
Blockchain Kaigi2021,2023
Presenation
2002/4 TokyoStockExchangeDerivative Developer
2005/5 NomuraResearchInstituteFinancial Engineer
2008/2TokyoStockExchange IT Service Manager
2012/7AmazonWebServicsJapan
Enterprise Solutions Architect
2014/5Amazon Web Services APAC
Professional Services Consultant
2016/2 IBMCloud Division
CloudArchitect
2019/3 IBMDigital Innovation Business DevelopmentRed Hat Synergy
Evangelist
2021/1 IBMData AI Automation
Chief Data Scientist
2021/7 IBMTechnology Garage
Garage Manager
2021/10 IBMClient Engineering
Banking Insurance Principal Client Engineering Manager
Hibiya High School
Tokyo University of Science , Science and Engineering ,Sun Site Operator
WasedaBusinessSchool,MBAFinance, Blockchain Finance
2006/4TokyoStockExchange Enterprise Architect
2017/3 IBMWatson and Cloud Platform
ChiefArchitect
2023/8 IBMEcosystemEngineering
Japan GEO Lead

3. IBM TechnologyStrategyandEcosystem
Open
Ecosystem
Partner
Ecosystem
Partner
Ecosystem
Open
Ecosystem
IBM
IBM
Embedded Generative AI Ecosystem Software

4. IBM Sustainability Software / © 2024 IBM Corporation 4
IBM Focus Area
Smart
Contract
(Token)
Distributed
Ledger

5. LinuxFoundation
Hyperledger
CNCF（CloudNativeComputing Foundation）
Hyperledger
Fabric
…
Kubernetes
…
IBM Supply Chain Application
Red HatEnterpriseLinux
Red Hat OpenShift
PersonalDeveloper Developerincompany
EcosystemincludingLarge SIer
Relatives between Linux FoundationandIBM
Linux
Data
Compatibility
Platform
Compatinility

6. IBM Supply Chain Intelligence Suite (SCIS) Transparent Supply (TS)
Supported visibility for end to end supplychainwith
IBM Supply Chain Intelligence Suite (SCIS) Transparent Supply (TS)
Restaurant
Producer
RetailStore
Logistic
SellerManufacturer
Supply Chain Intelligence Suite
Transparent Supply

7. IBM Sustainability Software / © 2024 IBM Corporation 7
Create a more
sustainable supply chain
Sourcing
and procurement
Manufacturing Sales
and marketing
Lifecycle
product management
Logistics
and distribution
91% of companies are
integrating sustainability
criteria into trading
partner selection
60% of the total energy
consumption is used
in industries–where
at least 25% of energy
stems from energy-
intensive manufacturing
Between 60-80%
of the impacts on the
planet come from
household consumption
Companies are shifting
from linear to circular
supply chains to turn
waste into opportunities
while meeting regulations
Road-based
transportation contributes
70%-80% of total
transportation emissions

8. Summary of IBM Japan Use Case
CollaborationTechnologyTimeContentsUse
Case
consortiumSupply Chain Intelligence Suite
on IBM Blockchain
2021Resource circulation
platform
Mitsubishi
Heavy
Industry
consortiumSupply Chain Intelligence Suite
on IBM Blockchain
2021Resource circulation
platform
Mitsui
Chemical
consortiumSupply Chain Intelligence Suite
on IBM Blockchain
2021Resource circulation
platform
Asahikasei
Consortium
＋
self service
Supply Chain Intelligence Suite2023Visualize of SupplychainMitusi
Consortium
＋
self service
Supply Chain Intelligence Suite2024Visualize of SupplychainKirin Brewery

9. Ecosystemfor Sustainability with Distributed Ledger
IBM Supply Chain Intelligence Suite (SCIS)
Transparent Supply (TS)
Hyperledger
Fabric
Distributed
Ledger
Database
ERP
System
Sustainability
Disclosure
ERP
System
ERP
System
OwnerA＋IBM
Company B Company C Company D
EcosystemCo-Creation
Sustainability
Disclosure
Sustainability
Disclosure

10. IBM Sustainability Software / © 2024 IBM Corporation 10
Transparency
and sustainability in
the textile industry
Based on IBM Blockchain
Transparent Supply, Fashion
Trust allows participants to
get a better understanding of
where and how a garment’s fabric
was processed and finished, by
whom, and in what conditions.
“This project aims to promote
greater transparency in the
industry to ultimately
enhance the competitiveness
of UK textile and garment
manufacturers, while
reducing the environmental
and ethical impact of the
sector.”
Adam Mansell
Chief Executive of the UK Fashion
and Textile Association (UKFT)
UK Fashion and Textile Association

11. IBM Sustainability Software / © 2024 IBM Corporation 11
Traceability and
provenance to
meet compliance
for food safety
Transparent Supply Food Trust,
enabled faster end-to-end
product traceability, resulting in
increased compliance as well as
greater confidence in food
distribution and consumption.
–Responded to FDA
investigators with detailed
product tracking
in an hour
–Reduced product trace
times for recalls from
7 days to 2.2 seconds
When food cannot be tracked
from origin to shelf, it results in longer
trace and response time to regulatory
investigation events causing food-
borne illnesses and recalls.
Walmart

12. IBM Sustainability Software / © 2024 IBM Corporation 12
Connecting
coffee farmers
with the
consumers
they serve
Farmer Connect

13. IBM Sustainability Software / © 2024 IBM Corporation 13
Carrefour launches
textile traceability
focusing on eco-
friendly production ShipmentPlant
Consumers access data by scanning
a QR code. It provides info about
the place and date of production,
the product’s composition, the
method
of cotton cultivation, and
environment-related certificates.
The initiative is in line with
Carrefour’s commitment to having
100% of natural raw materials in
its exclusive brand products to
be sustainable and traceable by
2030, and with Carrefour’s organic
commitments where 50% of
cotton textiles are to be sourced
organically by 2025.
Production Manufacturing
Carrefour

14. IBM Sustainability Software / © 2024 IBM Corporation 14
Sense
ETE System
Integration
Canonical SC
Data Model
Visibility Across
the Organization
Analyze
Anomalies
and
Trends
AI Learning
External
Factors
Solve
Prioritized
Recommendation
s
Act and
Fix
Multi-Enterprise
Resolution
Quickly identify
problems, analyze
risks, resolve with
minimal impact, and…
Learn with AI
trained in the
language of supply
chain
The next generation
of Control Intelligence…
Sense
–
Consolidate and standardize
data from disparate systems
–
Personalized dashboards
–
Identify problems
Solve
–
Tailored resolution pages
–
Best practices and
actionable intelligence
–
Integration and automation
for efficient action
Analyze
–
Supply chain rules,
analytics and AI
–
Watson Assistant with NLS
–
Work queues to
prioritize exceptions
…leverages the power of open platforms, analytics,
and AI to extend process optimization and make supply
chains more adaptive, responsive, and predictive

15. IBM Sustainability Software / © 2024 IBM Corporation 15
Supply chain
intelligence
SCIS
Extensible Supply Chain Platform
Supply Chain Back-End Systems
(ERPs, OMS, WMS, TMS, …)
Partner Ecosystem
(Customer, Supplier, Carrier, …)
–
Planning Analyst
–
Supply Manager
–
QA Manager
–
Sustainability Lead
–
Inventory Specialist
–
Fulfillment Manager
Central Data Integration, built-for Supply Chain Data and Process Model
Control Intelligence
Dashboards, Explorer, Work queues, SC advisor (NLP)
SC data/services
Workflow & Automation (BAW) TS Track & Trace (Blockchain)
SC intelligent apps
–
Weather events
–
Location services
–
Supplier risk
–
Sustainability ratings
–
…
Supply assurance
–
Continuous intelligent
planning
–
Inventory Planning
–
Demand Forecasting
–
…
Inventory mgmtOn-time delivery
Application ecosystem
by IBM and partners
data actions
& more use cases
Business rules, Analytics
SaaS done right
Quick to deploy, highly scalable, open to extend

16. IBM Sustainability Software / © 2024 IBM Corporation 16
IBM Supply Chain Intelligence Suite
Intelligence and efficiency to improve supply chain resiliency
Identify
issues
–
KPIs based on business
rules & alerts
–
Analytics using AI and
machine learning
→ Work queues of
prioritized issues
Monitor
performance
–
Visibility across siloed
data sources
–
External data Track & trace
→ End-to-end supply
chain coverage
Provide
recommendations
–
Defined best practice solutions
–
Context and recommendations
→ Determine best
approach
for the situation
Take
actions
–
Intelligent workflows
with guidance
–
Automation to
back-end systems
→ Quick, efficient and
uniform problem
resolution
Better actions taken more quickly empowering the workers, reducing manual steps, freeing up time to focus on higher value tasks

17. IBM Sustainability Software / © 2024 IBM Corporation 17
IBM Supply Chain Intelligence Suite
Suite of supply chain solutions that apply the power of
AI and the speed of automation to improve ecosystem
visibility, resiliency and sustainability
Intelligent
insights
Built in intelligence
and execution to find
and fix fast
Workflow
automation
Accelerate the rate
at which work gets
done; free up staff
or higher value tasks
Trusted
network
Real-time
information exchange
across ecosystem
Full
transparency
Track goods from
origin to customer
Sustainability
performance
Measure across
your supply chain
Responsible
sourcing
Monitor adherence
& share story
End-to-end
visibility
Integrate, correlate,
and orchestrate
across data, systems,
and organizations
AI Driven Exception Management Provenance & Ecosystem Sustainability