1) The document discusses how digital innovation and transformation can impact various industries like transportation, manufacturing, and maritime. It provides examples of how technologies like IoT, data analytics, and AI can optimize operations and efficiency. 2) Specific applications mentioned include using real-time data to optimize transportation systems and traffic management, creating digital twins to monitor industrial assets and processes, and analyzing ship data to reduce fuel consumption and improve maintenance. 3) The document emphasizes that digital transformation requires focusing technologies to drive value for customers in each industry by repositioning offerings in the market.

1. Copyright 2018 FUJITSU
Differentiation
through
Digital Innovation
and Transformation
Glen Koskela
Fujitsu Fellow
CTO Nordics

2. Copyright 2018 FUJITSU
A global Japanese ICT company
World's 5th largest IT services provider
Technology Solutions (67%)
Ubiquitous Solutions (22%)
Device Solutions (12%)
2017 Top 50 US Patent Assignees (IFI CLAIMS®)
1935
100
155,000
Founded
Countries
People
40
1.6
97,000
B$ revenue
B$ R&D
Patents
1

3. Copyright 2018 FUJITSU
Digital disruption is not a quest for technologies
Mobile Internet
Real time Anywhere
Internet of Things
Convergence of physical & digital Big data
AI and Robotics
Knowledge Automation
Internet
Online
Online consumer business
New Industrial Revolution
A huge impact on every industry and society
Concentrate on what factors - in your industry, with
your propositions, among your target customers -
can be enabled by digital technology to drive a
value-add that repositions you in the market.
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4. Copyright 2018 FUJITSU
Digital business transformation
Algorithmic business environment,
operating model, performance
indicators, and management model
Data analysis
and knowledge
Value chain
automation
Services
experience
Process
excellence
Operational
efficiency
Converting digital assets into industrial competitive advantage
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Smart City transportation
Real-time location data analytics
for smart cities, urban living and
multi-modal transportation
Sensors, probes, tags
Meters, radars, CCTVs
Smartphones
Trackers, bracelets
Embedded chips
Weather stations
Actuators, M2M
Cars, busses, taxis
Trains, subways
Geospatial data
Rail data, Road data, Bus data, Taxi data, Pedestrian data,
Weather data, Accident data, Venue data, Location data,…
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Real-time traffic conditions
Prediction of delays and overcrowding
Unexpected incident influence prediction
Visualization of service and passenger flows
Congestion detection and mitigation
Line and composition recommendations
Multi-modal journey planner & ticketing
Car/bicycle-sharing utilization
Venue traffic management
Delivery service management
Crowd & security management
Commercial promotions
Complex decision support in real-time
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Global manufacturing operations
Unprecedented global real-time visibility of the manufacturing operations
Global – region – country – facility/factory
– production line – machine – process
DEMO
Connectivity changes the nature of business
Real-time intelligence makes a difference
Optimization of policies and processes

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Business impact of digital twin
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Ability to process, interact, connect, sense, diagnose, optimize, predict, decide,…
Digital replica of each industrial
physical asset, process and system
across its lifecycle, using real-time data
Powerful way to monitor and
control assets and processes
Operations – Service – Design

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Remote supervision of on-site inspection, maintenance and repair for complex processes
CC BY 2.0 photo credit: https://www.flickr.com/photos/navalsurfaceforces/16256986827/; https://www.flickr.com/photos/savannahcorps/9272100226/; https://www.flickr.com/photos/greenmambagreenmamba/5234216674/
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Real-time expert support
Supervisor authorization
Sensor data presentation
Context driven task instructions
Voice control
Activity recording
Audit of quality assurance
Data and image capture
Service bulletins
Exemption programmes
Head mounted displays
Augmented reality
Biometric access control
Transformation into service-based models
Providing a product in a way
that customers value more
than the competitions’.

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Walk around checks (inspections)
Reduced onboard inspection time, more efficient reporting and higher quality of inspections
CC BY 2.0 photo credit: https://www.flickr.com/photos/cne-cna-c6f/29519988335/
Inspection check rounds are very labor intensive and inefficient – e.g.
daily, weekly and monthly safety equipment or engine room checks.
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Leaks, spills, fluid levels, filters, air intakes, heat,
debris, lashing, valves, pumps, boilers, coolers,
connections, piping, noises, vibration, odors, wiring,…

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Digitalizing and connecting a ship
M2M
Distributed control systems, Programmable logic
controllers, Historian database, Supervisory control and
data acquisition/HMI, Electronic logs, Data loggers,…
Main propulsion engines, Auxiliary generator engines, C-tanks,
Controlled pitch propeller, Gearbox, Steering gear, Bow thruster,…
Power Management, Ship Alarm Monitoring, Pump and Valve Control, Tank
Gauging, Ballast Control, Engine Remote Control, Integrated Bridge,
Voyage Data Recorder, Bridge Alarm, Bridge Navigational Watch Alarm,
Water In Oil Monitoring, Bridge Data Collection,…
Bridge
Deck
Control room
Cargo room
Machine room
IoT Gateway Edge
Semantic Layer
(ISO/PWI19848, ISO 15926, ANSI/ISA 95)
CC BY 2.0 photo credit: Sebastian Brinkenfeldt
https://www.flickr.com/photos/brinkenfeldt/4926126660/
Business data
Voyage data
Weather data
AIS data
Machinery data
…
Latitude, Longitude, Heading,
Speed (water), Speed (ground),
Wind angle, Wind speed,
Drift angle, Drift speed,
Rudder angle, Draft, Trim, Heel,
Shaft revolution, horse power,
Main engine revolution, power, oil flow
…

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Ship performance in actual sea conditions
Facilitates the selection of vessel routes in order to reduce fuel consumption
Utilizing massive volume of measurement data,
including meteorological and hydrographic conditions
such as wind, waves, tides and currents, ship engine log
data, and data about the speed and position of the ship.
Analysis of ship-related big data
to estimate fuel efficiency,
speed and other performance in
actual sea conditions.
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AI, AI, Captain
Excellent feature extraction, excellent explanatory methods, for challenging problems

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Area B
Area C
Area D
Automatic learning from operational data at sea
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Sensor log
Location:
Speed to water:
Engine rpm:
・・・
Weather information
Location:
Wind direction:
Wind speed:
・・・
Vessel Information
Ship performance
Ship speed and fuel consumption
against wind and ocean current
Fuel consumption reduction
Plan route:
7m/l
Recommended route:
10m/l
Performance degradation analysis
Fuel consumption
Optimal maintenance timing
age
Name:
Completion:
Ship Type:
Length:
Width:
Weight:
Ship performance by areaHealth status by area
Name:
Age:
Nationality:
Blood Pressure Ship speed
age
Area A
Area B
Area C
Area D
Area A
Recommended
route
Planned
route
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Sensor data at sea
Multi-dimensional analysis
Optimization information

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How digital is driving maritime innovation
Ship Efficiency Advisory
Fuel Performance Optimization
Environmental Voyage Planning
Weather routing
Vessel Performance Analytics
Fleet Performance Analytics
Condition Based Maintenance
Predictive Maintenance
Quality Inspection and Control
Malfunction Detection
Remote Maintenance
Remote Supervisor Support
Environmental Compliance
Ship Design Optimization
Ship Cleaning Planning
Ship owners, operators, suppliers, shipyards, service providers,…

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Lower capital needs, transit times, logistics spend
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CC BY 2.0 photo credit: https://www.kiln.digital/
Maritime traffic management. Port dynamics. Integrated logistics.
Optimizing integrated maritime-port–urban
logistics and supply chain management.
Managing the complexity of
and volatile changes in sea
traffic and port operation.
To address issues in ship
operator and port productivity.
To minimize congestions with
integrated logistics.
To reduce incidents and
improve safety of ships.
To enable port dynamics,
shorter queuing & turnarounds.

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Digital Innovation and Transformation
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Co-creation and technology innovation made in Denmark! More at our Fujitsu stand!
Applying Deep Learning to
replicate expert workers’
vision and judgement in
Non-Destructive Testing.
Analysis of infrared, thermal, X-ray, laser
imagery to identify structural issues.
Quality assurance,
structural maintenance,…

18. Copyright 2018 FUJITSU