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Welcome To
Mark Stephen
BBC Scotland
#iotscot
Ray Bugg
Scot-Tech
#iotscot
@scot_tech
8th Dec 2016
#scotdata
#iotscot
Caroline Gorski
Digital Catapult
#iotscot
@carolinegorski
Introduction to
DIGITAL
CATAPULT
#DigiCatapult
WHO WE ARE
A national centre to rapidly advance
the UK’s best digital ideas
Not for profit, private limited company
Completely neutral
1
2
3
WHO WE ARE
WE’RE HERE TO CREATE…
New jobs
New services
New products
GVA for the UK economy
1
2
3
4
WE’RE HERE TO CREATE…
By 2018 we aim to
£365m of additional economic revenue
Make a difference to 10,000 organisations
UK digital
market is valued
at more than
£100bn
Growth on the
Internet
represents 23%
total UK GDP
2004-2009
OUR VISION
£
OUR 4 TECHNOLOGY LAYERS
• Immersive
• Distributed
• Connected
• Intelligent
CONNECTED
50bn connected devices by 2020.
China investing $800m in test-beds. India, Singapore and Korea doing similar…
Only 0.2% of things that can be connected, are connected.
$1.9tn of global economic value add (Gartner).
$4.6tn global public Sector alone (Cisco).
INTERNET OF THINGS
Sharing and generating IoT data
Connected Products Studios
Convening projects around large-scale demonstrators
What do we know (or think we
know)? • The UK has a leadership position in IoT research
(135 specific projects, £122m in funding, 89% UK-funded)
• Focus areas for public funding spend are cyber-security,
healthcare, privacy and trust, transport
(although most private-sector activity by scale is in smart-home)
• VC/private investor spend (£42m+ 2015) is mostly in software
apps layer, in smart-home and smart-buildings
(healthcare and security are called out as “hot” next markets)
• Trickle-down from research spend or VC funding is not at
optimum
(SMEs, especially outside London, struggle to participate in the
global IoT market even with UK leadership in research)
KNOWLEDGE INTEROPERABILITY
INFRASTRUCTURE/
PLATFORMS
TECHNICAL SKILL/
TECHNOLOGY
CAPITAL
CUSTOMERS
What are the blockers for SMEs in IoT?
It’s a complex
and confusing
market, with
very little
benchmark data
or authoritative
market
evaluation
Standards are
unproven, or
still being
formulated.
Working
across
ecosystems is
challenging
Costs of entry
are too high:
regionally,
infrastructure
provision is
inconsistent
Demonstrating
technical
competency at
scale is
challenging (to
commercial
prototype)
Outside of
London,
Cambridge and
Glasgow, little
private sector
funding is
available
High-potential but risk-averse
markets like healthcare have
lengthy and unhelpful buying
practices
Lack of commercial risk models
hampers the development of cross-
sector ecosystems to help leverage
scale
@IoTUKNews
@IoTUKNews
THINGS CONNECTED
21
MISSION
 Create a national innovation support programme around LPWA testbeds in different UK
regions to strategically support local IoT sector growth
 Empower UK businesses, innovators and communities with the knowledge and skills to
become quickly productive on top of LPWANs
 Bring together demand and supply side stakeholders to accelerate the path to market for
LPWAN based solutions
 Establish strong ties to international LPWA initiatives to export success easier to different
regions
Jumpstart the UK LPWAN eco-system by lowering barriers for technology
access, innovation and market access for UK entrepreneurs and SMEs
Open calls
Hack days
Showcase opportunities
and so much more
THANK YOU!
#DigiCatapult
Prof. Keith Ridgway
The AMRC with Boeing
#iotscot
@TheAMRC
Confidential. © 2015 AMRC with Boeing.
Improving the Process: Using IoT and
Advanced Technologies in Manufacturing
Professor Keith Ridgway
Confidential. © 2015 AMRC with Boeing.
The journey
Professor Keith Ridgway
Factory Information BUS
Our history: Orgreave 1995
26
Advanced Manufacturing Park 2016
27
28
29
https://www.dropbox.com/s/qbenxg1sbhe7c5
5/Screenshot%202016-09-
28%2022.21.44.png?dl=0
30
•New ways of working
•New Business
Models
•More analytics
• New Processes
• New Materials
• New methods of
manufacturing
• Batch size of 1
• Delivered yesterday
• Mass Production
• Minimize Waste
Lean Agile
Data Driven
Advanced
Technologies
Greater
Expectations
Digitaltwin
Morefrom
Less
What is happening?
Image after: CSIRO Next Generation Manufacturing
• Additive
• Composites
• Nanomaterials
• Bio
• Flexible
• Remote
Collaboration
• Virtual
Prototyping
• Servitization
• ‘Next Shoring’
The Factory of the future?
31
• Sustainable and green manufacturing.
• Improved and simplified ICT
• Advanced robotics and intelligent manufacturing
systems.
• Next generation materials with novel functionalities
• Reconfigurable facilities and fast ramp up as demand
grows
• New business models such as servitization
• Talented, well educated and creative people
Advances at Factory Level: Factory 2050
32
33
Advances in assembly
34
Assembly Simplification
35
Flexible automation
36
37
Digitised product
38
Digitised product
39
Digital manufacture 3D printing
40
Complex machine tools
41
Advances at Machine Level: Sensing
42
43
Disrupters
44
1. Astonishing rise in data volumes, computational power, and
connectivity especially new low-power wide-area
networks
2. Emergence of analytics and business intelligence
Capabilities
3. New forms of human-machine interaction such as touch
interfaces and augmented reality systems
4. Improvements in transferring digital instructions to the
physical world, such as advanced robotics and 3D printing.
High awareness but low adoption of Industrie 4.0 and IoT
How has technology changed things?
Manufacturing is changing!
The latest drivers
• The 4th Industrial Revolution (Industry
4.0)
• Cyber-Physical Systems
• The Internet of Things
• More things, more connected
• Big Data
• More data, from more things
that are more connected
45
Image : Christoph Roser at AllAboutLean.com.
Yes it does!
It applies at every level throughout the
value chain – the only thing that might
differ would be the level of investment
To be of value to your world, all you
need is data and a level of connectivity.
46
Your
Customers
Your
Company
Your
Supply
Chain
Other
Customers
Other
suppliers
Does it apply to me?
47
SENSORS / EQUIPMENT
TEMPERATURE
LOCATION
ACCELERATION
HUMIDITY
PRESSURE
VIBRATION
IMPACT
DELIVERY OF INFORMATION
RIGHT INFORMATION
RIGHT TIME
RIGHT PLACE
RIGHT PERSON
RIGHT DEVICE
RIGHT FORMAT
Interconnected Manufacturing Environment
47
Factory Information BUS
no
REPORTINGANALYSISDATA STORECLOUDANT /
LOCAL CLOUD
FACTORY PLANNING
MES / ERP / PLM
TABLETWEARABLE PHONE LAPTOP / PC
ALERTS /
JUST IN TIME INFORMATION /
WORK INSTRUCTIONS /
PROCESS / PROGRESS INFO
CUSTOMERS /
ORDER INTAKE
LOW POWER BLUETOOTH /
WI-FI / RFID / FACTORY LAN
EMPLOYEES
INTELLIGENT DECISIONS /
ANALYTICS FEEDBACK
DASHBOARD INTERNET /
WEB PORTAL
SUPPLY CHAIN
LIVE
DATA
USER FEEDBACK /
VALIDATION
HISTORIC
DATA
Challenges
Legacy – the majority of equipment in the supply chain is
not connected
Data handling and storage – Massive amounts of data is
being generated
Standards – There are no globally accepted standards (yet)
Security – More connected devices mean more connected
targets
Skills / Knowledge – What should we use, how should we
use it, how do we train young people entering this world,
who needs the training?
48
Manufacturing Informatics
49
Sensors/
Devices
Connected
Man/Machine/
Process
Edge Processing
Distributed
Control
Machine
Learning
DES/Digital Twin
Cloud
Analysis
Factory Management
Visualisation/
Dashboard/Reporting
BIG
DATA
IoT
AMRC SCOPE
PLM/
CAD/CAM
Supply Chain
Customer
Requirements
SECURITY
+
PRIVACY
Benefits
Greater visibility of activities across the value
chain which may impact on you – meaning fewer
surprises!
• Increased competitiveness through agility
• Reduced risks
• Increased opportunities
50
Your
Company
Your
Customers
Your
Supply
Chain
Other
Customers
Other
suppliers
But we still need to make it!
51
Confidential. © 2015 AMRC with Boeing.
Email:
web: amrc.co.uk
Twitter: @theAMRC
Thank you.
For further information please contact or visit:
k.ridgway@amrc.co.uk
Gavin Neate
Neatebox
#iotscot
@neatebox
#neatebox
*If you post about this presentation be
sure to add this hashtag
Pedestrian Crossing
App
Customer Service
App
Pedestrian Crossing App
Customer Service App
Improving Customer Service
Gavin Neate
gavin@neatebox.com
www.neatebox.com
Questions &
Discussion
#iotscot
Morning Breakouts
Please check rear of
badge
#iotscot
Welcome Back
Panel Discussion
Hosted by
Simon Montford
@WEB3IoT
#iotscot
Richard Thorp
FirstGroup
#iotscot
@FirstGroupplc
September 2016 IoT Scotland
Paving the Foundations
for IoT and smart
transport systems
CTO, FirstGroup
September 2016
CIO, FirstStudent
Richard Thorp
September 2016 IoT Scotland 70
FirstGroup Overview
September 2016 IoT Scotland
Why Now?
71
Adoption of
Mobile
Devices
Cost of
Bandwidth
LTE
Cost of
Sensors
Cost of
Processing
Big Data
Frameworks
September 2016 IoT Scotland
Cellular Coverage
72
September 2016 IoT Scotland
Vehicle Environmental Challenges
73
Environment Antenna
Installation and Maintenance
Parasitic Draw
SIM Concerns
September 2016 IoT Scotland
Transform Back Office Systems
74
Safety
Charter Systems
GLI Branch Operations & Scheduling
School Districts
Enterprise Applications
Point of Sale
GLI ISS Websites
Financial Systems
Chase
PaymenTech
Time & Labor
First Student
Branches
HR, Benefits & Payroll
Risk Management
JDE
AP10249
AR Interfaces
BMD
Rochester
AP10175
Trans Trak
AP10051
RMS
AP10284
Inv
Inv
Inv
Inv
ALL STARS
AP10002
AR
AR/AP
Inv
External Apps
AR/AP/INV/GL
Concur
AP10264
JP Morgan
(Lock Box)
Fuel Quest
AP10429
TEM
Pcard
AP10167
TD Bank
(Canada)
Canada
(Vancouver,
Cardinal)
Purchase
Order Viewer
Purchasing
Dept
Vehicle PO
Orders
Kyriba
Treasury
Workstation
FTP
First Invoice
AP10356 or
AP10010
Vendor
Mastor
eBranch
Charter/Invoice
AP10350/AP10353
AR/Inv
Customer
1099 Annually
AP Batch Phone
Log AP/AR PI
Reports
Other Reports
PI Financial
Budget
BICS/BMCH
AP10312
AR/Inv
ERES Report
Vertex
US Tax Prep
AP10080
UK Reports
Cognos
PowerPlay &
Reporting on
B&F)
BI Data
Mnthly Forecasts
Branches in
US
Forecasting
Budget
Microsoft
Excel
Forecasts,
AR Inv
DocPath
AP10256
Print Invoices
R2P
Connect
Direct
AP10424
EDI(PO, RA, POCR, ACT)
Sterling
Commerce
Vendors
Vendors
BSS
Punch Out
Http
Mileage
Reporting
AP10412
BU, Region, Super Reagion
RSG
Claim Data
Bus Mileage per
Day and Area.
Used by Shop &
Area Mgrs
“Glen Black”
Accident Freq. Other
Sources
NCES
National
Center for
Education
Statistics
Ohio
Workers
Comp
Claims
Crawford
Sedgwick
CMS, Claims
& Property
Mgt
Washington
Workers
Comp
Claims
Claims
Crawford
Employees
Claims
WCBPro
AP10056
Canada
Claims
Claim Reports
Field
Management
Claims
Government
Agencies
Vehicle Management
Driver
Driver Defect
Report
Branch Shop
Manager
Branch Level
Reports
Repair Request
Third Party
Customer
Repair
Request
Recall Notice
Warranty
Center
Recall Notice
Warranty Claim
Rejected Warranty
Claims
Vehicle Maintenance
System
AP10058
Tech Task Hours
Work Orders. Assignments
& Completion Data
Vehicle Data,
Location & Mileage
Warranty Claims
Recall Orders
International
Bus Sales
Vehicle EDI Files
EmanioVehicle EDI Files
Vehicle Data
Vehicle Data via FTP
Fleet
Coordinator Vehicle Data
Buses Reports
First Student Bus Operations
St Louis Schools
BOP
AP10032
Vehicle Download
ARC GIS
AP10030
Geospatial Data
ZONAR
Systems
AP10020
ZONAR
On-Board
Devices
Location
Mileage
Speed
Branch Staff
Routes
St. Louis
School District
Routes
FOCUS
AP10373
Geospatial Data
GPS, Idling
Vehicle Download
School District Live Routes
Branch Staff
Live Routes
Edulog or
Versatrans
Student Routes
Route Corrections
Student Routes
Route Corrections
Student
Routes
Stops
Stops
Student
Routes
Routes
Route
Assignments
Stops
BMD(Branch
Mgmt
Dispatch)
Routing Apps
(Trapeze,
BusStops,
etc)
Map Point
Navitrans
Routs
First Transit Bus Operations
Drive Cam
On-Board
Devices
Drive Cam
Systems
HTTPS
DDS and
Branch
Managers
HTTPS
Business Units & Hierararchy
LES People Soft HR
AP10258
Employees
Employees
Employees
Survey
Consultant
Employee
Data
Previous
Emp. Verify
Applicants
Emp Data
Non-Staff Emp
Compliance
iTrak
Accidents
ADP EV5
AP10149
Employees
Paycheck
W2
IRS
W2
Gov
SSN Ver
EEO Rpt
TALX
Tax
Credit
Watson Wyatt
Pension
Evaluation
ADP
Employee
Portal
Wells Fargo
401K
Group
Associates
VSP
Healthwise
Choice
United Health
Choice (UHC)
Other Benefit
Providers
Cerdian
CIGNA
Dental
MetLife HIP QCare
COBRA
ADP WEB GL
AP10152
Payroll Shared Services
Payroll Interface
HR Data Updates
Payroll Data
Pay Check
Excel
Transtrak
AP10052
Schoolbus.co
m
OPS
AP10359
Advantage
T&A
AP10060
E-Branch
Payroll
AP10354
Jeff Joll
BMP
AP10360
Q-Quest
(Transit)
AP10016
JD Thomfor
AP10041
EPIP
EPIPEPIP
EPIP
EPIP
EPIP
EPIP
EPIP
EPIP
US
Branches
Ebranch MSD
SQL Server
Ebranch
DDS
AP10351
Ebranch
Swipe
AP10037
Ebranch
Dispatch
AP10352
Emp
Updt
Applicants, Employees,
Contractors, Compliance,
Training
Driver
Start
Time
Trip
Sheets
Applicants, Employees,
Contractors, Compliance,
Training
Drivers Start Times
Trip Sheet
Time and
Attendance
Emp
Upd
Fill Employee
Time and Attendance
Real Time Previous
Employment Verification
Exempt Emp
Deferred
Comp
Banks
PC
Pitney Bowes
Check
File
Pay
File
Vendors,
Suppliers,
Employees,
etc.
Mail
Check
Deposit
Reconciles
AP
Payment
Positive
Pay
File
FGA
Customers
LES Payments
Payments
OLATHE
Payride
CC Payments
Olathe, KS
Branch
Payment Notification
Shared
Services
Payment Notification
AR
Payment
Payment Notification
Payments
Payment
Student Addresses
Canada
Tax Prep
Input
Invoices,
Receipts, etc.
Org Hierarchy Changes
Hyperion
AP10253
Data
Warehouse
AP10111
BU, GL Accts
& Bal, Inv, Xign
Inv Detail
GL Accts.
Budget
Amounts
Employees,
Job History,
Compliance,
Earnings, Hours
& Pay
Head Count,
Compliance,
Overtime Hours
Vehicles
Payments
Vehicle Updates & Financials
Vehicles & Mileage
Data Stream
AP10407
PI Maintenance
Vechicles
CoA, Expense Codes, Supplier Master, AR, AP INV
Vendor/AR,AP,INV, GL
Service NowBigFix
P-Sync
CA People
Soft
AP10170
Legacy FGA
PCPW
CA Only
EPIP
CSI
Emp Updt
Thomas International
Profile Assessments
Avatar Online
Training
Driver Training Results
Personal
Profile
Page-1
FGA Integration July 2010 V5.1.vsdFile Name
Author Keith Talbot
4/21/2014Last Update
Created 7/7/2010
1 of 1Page Page-1 Number
Confidential & Proprietary
©FirstGroup America, 2010
TRIPS
Core TRIPS/CTRIPS module
AP10392/AP10557
GPX
AP10375
Claims
AP10378
CRIS
Aloha
AP10267
Agent Memo
AP10186
Express
AP10363
Gateway
Customer Service
Marketing
Student Advatage
Sales Accounting
TIC Tax
Resource
Management
GPX
Bags
AP10377
PPF Gen
AP10390
Schedules
Max
AP10366
Kiosk
NextJet
AP10473
Road Rewards
Ticket Scanner
E-Tickets
HoundBucks
AP10482
Warehouse
Baggage API
AP10549
Discovery Pass
Web Host
Interface
AP10394
Attunity
CS STARS
AP10277
HR-1
AP10261
Payroll Data
Wachovia
Service
Awwards
Aetna
Delta Dental
MHN
CIGNA
VSP
401K
Time in Service
Eligibility
Eligibility
Eligibility
Eligibility
Eligibility
DirectPay
AMS
Rewards
Employee &
Performance
Data
Employee Data
AFLAC
Quorum
Legacy GLI
PCPW
Employee Data
401K
Union Data
Benefit Elections
For Union DriversEmployee Changes
& 401k Data
ADP
Gross
Pay
Pay Data
Driver Pay
AP10298
Employee
Data Changes
Hours, Pay
Earnings Type
Legacy GLI
Kronos 3.X
Hourly Employee Data
VRU
AP10531
Pay History
Driver
Screens
AP10332
Load Count
Entry
AP10333
Driver
Uniforms
AP10300
Driver Status/Location
ORDS
Reporting
Rair
Technologies
Safety
(US/Sybase)
Safety
(CA/Sybase)Road ChecksIPP Portal
Driver Mgmt
Data & Certification
ReconNet
Winocular
Imaging
AP10271
Legal
Contract Legal Search
BOSS
AP10293
Driver
Planning
AP10299
Tool Kit
Driver Info Entry
Lift Info
& Ticket Sales
Driver Employment Status
Charter Desk
CA
Charter Desk
US
Banks
Legacy GLI
Positive
Pay
File
GLI
CC Transactions Deposits
Invoices
F03B11Z1
Customer
Master
F0301/F0101
LockBox
Data
Meal Stop
Pelican Food
Service
AR Only
IF 13.29
IF 13.46
Western
Union
Sales
GLI Deposit
Information
FareFinder
AP10565
Ticket CenterPrint@Home
ESRI
AP10460
Internet
GLI Interline
Partners
Sales & Refund
Data
ID Server
DR
Quote
IVR
AP10270
Batch
Extract
AP10361
Processing
STEPs/C-STEPS
AP10310/AP10537
Configuration
And Sales Files
Field Audit
Flagged
Activity
GPX
Activity
IF 12.23 & CA 11.23
Agent
Commission
Info
Agency Sales
Acct. Tool
IF 13.30 & 13.31
Lift Info & Ticket Sales
Revenue
AP10291
Ticket Sales
Carrier
& Agent
Detail
GL/AP/AR Account info
And POS activity
&
Yearly 1099 data
POS deposits, credit cards,
adjustments and Western Union sales
Reporting Systems
Legacy GLI
Hyperion
AP10511
Panorama
AP10446
MS Reporting
Services
AP10450
SPAR
AP10309
EIS
DSS/DSS-CA
AP10316/
AP10506
Extraboard
Print
Journals
Driver
Training
Needs
Tour &
Cycle
Info
Driver
Training
Needs
Food Service
GOA
TBM/WC
Sales
GLI Vehicle Maintenance
MCMS
AP10276
Roadside
Fuel
AP10307
Invoices
AS400
AS400 POS
Upload
BBM
AP10414
Foreign
Carrier Billing
Carrier Billing
System
Foreign Carrier
Completed Work Orders
(via FTP at Month End
– user initiated)
CA 11.17
IF 13.21
Sales
Heat
CAC
AP10100
Common &
C-Common
AP10532
Team Track
SCPS/
CSCPS
Exchange
E-Mail
AP10136
Financial info from manual agencies
Active Employee Data
Carrier & Org
Schedule & Stop
Responsibility Codes
IF 13.26
Daily Sales
Tool
AP10335
GL Journal
IF 13.24
IF 13.32
IF 13.22
IF 13.36
CA 11.12
Treasury Tool
AP10318
Location Data & TBE Info
Terminal Agent Sales
Incentives Payout
Bus Schedule
Cadec
AP10280
Automated, Batch Data Flow
Manual Data Flow
LEGEND
Data Entry
Automated, Real Time Data Flow
Flow is in Development Only
(not in production)
Canadian system
Internal Group
of People
Third Party
System
Developed
System
ASP/SaaS
File
Report
Third Party
Group of
People
Logical
Groups
AP10*** Application ID
DocuSphere
AP10402
CapEx
Workflow
engine
DocuSphere
Content Mgt
DocuSphere
Workflow
Engine
Invoice Images
Meta data
Invoice Auto Vouchers
AnyDoc
Invoice
Imaging
PO, Company, Vendor Data
Kronos(WAR)
Emp.
Data
Time & Labor
EPIP
BMDDS
AP10314
JJ Keller
AP10282
BIPE
AP10461
Crystal Ent.
Tomcat
July 2010 Draft
Driver Data
EPIP File Load
Microsoft ISA
AP10575
Revision History
Version Author Notes
5.0 Keith Talbot Consolidated business units
5.1 Keith Talbot Minor Updates and Application
Addtions
Date
2010/July
2010/July
TransLink
(Western Union)
AP10576
September 2016 IoT Scotland
Data Needs to be Stored and Analysed
75
September 2016 IoT Scotland
Cost Management
76
COST
Equipment
Fitout
Runaway
Processes
Update
Frequency
Aggregation
Plan
APN
MDM
Data
Storage
September 2016 IoT Scotland 77
Partnerships
• Internal and External Collaboration
Imagine Future State
• Imagine the End State and Plan Backwards
Focus
• Target 1-2 areas that will move business forward
Getting Started
Source Data Aggregate Predict
Kate Armitage
Route Monkey
#iotscot
@TheRealKateArmitage
Copyright Route Monkey © 2015
Background to
Route Monkey…
o An award winning SME, established in 2009 , employing
30 staff. Recently became part of the Trakm8 Group.
o Route Monkey owns the IP for tried and tested advanced
optimisation algorithms that drive efficiency in the
transport and mobility sector.
o Working with Heriot Watt University and Professor David
Corne a world expert in algorithm development.
o Our cloud based software is deployed with over 500
customers across the UK and abroad.
o We are highly experienced in utilising telematics data,
and integrating our algorithms with customer systems
across multiple platforms.
o Route Monkey is account managed by Scottish Enterprise
and is working closely with Transport Scotland, Innovate
UK and The Transport Catapult.
Quantum, EVOS &
Charging Optimisation…
• Routing & Scheduling software underpinned by our
unique algorithms developed and IP owned by Route
Monkey
• Map routes & duty cycles from GPS long/latitude data
• Dynamic scheduling, capable of handling time slots
and multiple load types
• Calculates costs
• Can interface with telematics, in vehicle data loggers,
PDAs, customer management systems etc
• Able to schedule electric vehicles (taking into account
range, charging profile, topography, weather etc)
From Transportation to
Systemic Mobility…
• Siloed and disconnected modes
• Inefficient traffic flows
• Limited use of technology
• Individual units
• Constant Connectivity (roads, cars, cities)
• Optimised movement
• Flexible based on mode, time preference
and cost
The tools for connected road transport…
Connected Road Transport v1.0
Integrated Telematics and Real Time & Scheduling
Case Study – Single Fleet - Iceland
Low Carbon Freight Partnership – multi
fleet
o Global collaboration in decarbonising freight
o Demonstration sites in up to 10 cities in 2016
o Optimisation to save 15%-60% CO2
Single fleet optimisation case studies have proven to provide 5-20% of savings
through optimisation, but there is no collaboration involved.
2 types of collaboration believed to have largest impact on efficiency:
Sharing of information among logistics providers
Sharing of assets to improve utilisation
Sharing allows better consolidation and smarter use of EVs
Connected Transport
Where mobility meets energy…
• Optimisation of low carbon vehicles within
fleets to maximise the range and carbon
savings
• Optimisation of recharging of electric
vehicles according to tariff (time of use),
supply constraints and local network
constraints
• Energy storage and potential for vehicle to
grid services
Vehicle ownership models are
changing …
• Increasingly conventional ICE vehicles are being
viewed as “stranded assets”.
• City car clubs are becoming a preferred option –
135,000 members in London in 2015 with a target of
500,000 by 2020.
• Currently 1 car per 58 users – aim to increase this to
1:100 through increased efficiency of vehicles.
• Car clubs are cheaper than ownership, no hidden
costs (road tax, parking permits, servicing). Pay for
the miles you use.
• Uber, Karhoo and other apps disrupting the taxi
market. 90,000 taxis in London, expected to rise to
128,000 in the next two years.
• Location and journey planning apps
Connected & Autonomous Vehicles …
Connected & Autonomous Vehicles …
• Able to handle complex decision making based on
driver needs, surrounding environment, remote data
• Improved road safety eg lane departure, blind spot
monitoring, speed limiter
• Reduce emissions eg reduced stop/start congestion,
improved aerodynamics
• Reduces operating costs eg driverless, 24 hour a day
• Saves passengers time eg parking assist, car to your
door, traffic jam assist
• Redefines driving time
Executive
Summary
o The way we view transport is changing and is becoming
increasingly connected to ICT and Energy.
o Dynamic scheduling for fleets will become the norm.
o Fleets stand to benefit from better utilisation of assets.
Increased efficiency, improved customer service and
greater transparency.
o As the take up of electric and other low carbon vehicles
continues to increase there is greater need for optimised
planning and in-journey management.
o Energy storage through vehicles (battery, hydrogen) is an
opportunity to drive additional value.
o Traditional ownership models are changing, with
conventional ICEs “stranded assets” the majority of the
time. Connected transport ensures the right vehicle, in
the right place at the right time.
o In the (not too distant) future, this will be facilitated by
autonomous vehicles.
Point of Contact:
Kate Armitage
Projects & Strategy Director
Route Monkey
2A Houston Interchange Business Park
Livingston
EH54 5DW
kate.armitage@routemonkey.com
M: 07833 496 820
T: 0845 643 5731
Chris Yiu
UBER
#iotscot
@clry2
John Curtis
Revolutionall
#iotscot
@RevolutionallUK
Revolutionall World
“the home of the connected journey” – cheaper, cleaner, greener.
Vision – Be the global “go to” place for sustainable, connected living and transport
technologies
Mission – To enable everyone to reduce the negative environmental / financial
impacts of transport and for us to be seen as the "home of the journey”. We are the
gateway to customers
K.P.I.s
• Economic
• Environmental
• Social
• Customer satisfaction
• Employee engagement
Market highlights
• £8.6tn global smart mobility market
• Electric and low emission vehicle market set for
rapid growth
• £51bn annual opportunity for electric cars in UK
alone
• 30 billion connected devices by 2020
• Business and consumers unprepared for the
connected and low emission world
The Proposition
“Collabratory”
Visitor
Experience Test Track
Business
CentreEducation
CentreSMART
Tourism
Centre
Café & Shop
Classic and
supercar
conversion to
electric or
hydrogen
Business and
Education
Outreach
Revolutionall
“on tour”
Export /
Franchise
App
Development
• Connected Home
• Connected Office
• Connected Transport
What will we achieve at Revolutionall World?
• 1000 business reviews
• 2000 connected low emission vehicle sales
per year
• 500k teas, coffees and cakes
• 40,000 simulator experiences
• 1m online and shop sales per year
• 4 world leading conferences a year
• 26,000 test drives / track experiences
• 20,000 SMART tourism connected vehicle
hires
• 80,000 pieces of independent product
feedback for developers of new innovations
Zone 1 -
Zone 2 -
Zone 3 -
Zone 4 -
Zone 1 -
Zone 5 -
Zone 6 -
Zone 7 -
Zone 8 -
The team
Strategic supporters
Strategic partners
John Curtis
Founder
Board &
Investors
Heather Curtis
Founder
Advisory
Panel
Head of
Tech
Head of Fun
Head of
Buildings
Head of
Money
Head of
People
John Curtis
• Ex Head of Sustainable Transport,
Scottish Government
• Leading independent expert on low
carbon economy & transport
• Lawyer
Heather Curtis
• Ex Head of Continuous Improvement,
Capita, UK & India
• Lean Six Sigma Black Belt
• Member of Chartered Institute of
Bankers
We are a family business becoming a business family
35.6
38.9
42.7
47.1
51.8
23.5
24.9
26.8
28.9
31.3
12.1
14
15.9
18.2
20.5
2018 2019 2020 2021 2022
Financial projections (£m)
income costs profit
The 5 year financial forecast
Join us…
John Curtis
Founder & CEO
Revolutionall World
+44 7515 761300
John.curtis@revolutionall.com
@johnwcurtis
@revolutionallUK
@revolutionallUK
mrjwcurtis
Drinks &
Networking in
Exhibition Area
#iotscot
8th Dec 2016
#scotdata
127 © 2016 FujitsuCONFIDENTIAL
128 © 2016 FujitsuCONFIDENTIAL
What is IoT ?
129 © 2016 FujitsuCONFIDENTIAL
IOT A definition
 Kevin Ashton (born 1968) is a British technology pioneer who
cofounded the Auto-ID Center at the Massachusetts Institute of
Technology (MIT), which created a global standard system
for RFID and other sensors.[1] He is known for coining the term
"the Internet of Things" to describe a system where the Internet is
connected to the physical world via ubiquitous sensors
 The internet of things (IoT) is the internetworking of physical devices,
vehicles, buildings and other items—
embedded with electronics, software, sensors, actuators, and network
connectivity that enable these objects to collect and exchange
data.[1][2][3] In 2013 the Global Standards Initiative on Internet of Things
(IoT-GSI) defined the IoT as "the infrastructure of the
information society.“
130 © 2016 FujitsuCONFIDENTIAL
Expanding Connections
1960 1980 1990 2000 2010
1M 10M 100M 1B 10B
Mobile
Internet
Broadband
InternetPCMicro
Computer
Main
Frame
50 Billion
2020
Internet
Of
Things
The advance of IoT
UBIQUITOUSFRONT the interface between ICT and people developed via
enterprise & consumer markets now evolving into the world of IoT
131 © 2016 FujitsuCONFIDENTIAL
Shift from Industries to Arenas?
FUJITSU RESTRICTED - UK & IRELAND EYES ONLY
Transpor
t &
logistics
Healthcare
Energy &
utilities
Public sector
Financial services
Smart City Arena
Mobility Arena
Transport
&
logistics
Energy &
utilities
Manufacturing
Financial services Retail
Digital technologies cut across traditional industry boundaries, enable the reconstitution of
supply chain-based industries into ecosystem-based business arenas
Quality of Life Arena
Customer Experience Arena
Financial servicesPharma
Healthcare
Public
sector Academic
Transport &
logistics
RetailFinancial services
Manufacturing
Energy &
utilities
• Retail
• Financial
Services
• Manufacturing
• Transport &
logistics
• Energy &
utilities
• Healthcare
• Pharmaceutical
• Public sector
• Academic
132 © 2016 FujitsuCONFIDENTIAL
Smart Cities Vision
133 © 2016 FujitsuCONFIDENTIAL
IoT Components & Digital Transformation
134 © 2016 FujitsuCONFIDENTIAL
Driver Safety
Driver Drowsiness Detector
Worker Safety
Vital Sensing Unit
Smart Field Services
HMD / AR solution
• 20% of accidents are sleep
related
• 500 deaths p/a are caused by
sleep and 40% relate to
commercial vehicles
• 50% of fatal injuries to
workers were falls from
height, being struck by a
vehicle or object
• An estimated 2.1 million
working days were lost due to
injuries related to
handling/slips & trips
• 1 in 3 is the average first time
fix rate of engineers in the
field
• A shortfall of 30K engineering
in the next 10 years
Horizontal Industry Issues…….
135 © 2016 FujitsuCONFIDENTIAL
Driver Safety
Driver Drowsiness Detector
Worker Safety
Vital Sensing Unit
Remote Support
HMD / AR solution
• 20% of accidents are sleep related
• 500 deaths p/a are caused by sleep and
40% relate to commercial vehicles.
• 50% of fatal injuries to workers were falls
from height, being struck by a vehicle or
object
• An estimated 2.1 million working days
were lost due to injuries related to
handling/slips & trips
• 1 in 3 is the average first time fix rate of
engineers in the field
• A shortfall of 30K engineering in the next
10 years
Solutions…Driver Safety
Monitors the driver's
biorhythms via detection
sensors to gauge levels of
driver drowsiness which can
be used for driver self
management and allows fleet
managers to perform route
optimization planning
 Benefits
• Capture driver status and
sense early signs of
drowsiness/loss of alertness
• Operation managers can
observe the driver status
real time
Sensor
Fleet
Company
136 © 2016 FujitsuCONFIDENTIAL
Driver Safety
Driver Drowsiness Detector
Worker Safety
Vital Sensing Unit
Remote Support
HMD / AR solution
• 20% of accidents are sleep related
• 500 deaths p/a are caused by sleep
and 40% relate to commercial
vehicles.
• 50% of fatal injuries to workers were
falls from height, being struck by a
vehicle or object
• An estimated 2.1 million working days
were lost due to injuries related to
handling/slips & trips
• 1 in 3 is the average first time fix rate
of engineers in the field
• A shortfall of 30K engineering in the
next 10 years
Solutions…Worker Safety
Sensor Company
The Vital Sensing Band
helps to provide safer
working environments by
remotely monitoring the
health and safety of workers
and issuing alerts when
accidents occur.
 Benefits
• Detect falls by monitoring
both acceleration &
barometer pressure
changes
• Avoid the chances of getting
heat stroke by estimating
heat stress from pulse,
active mass, temperature &
humidity
137 © 2016 FujitsuCONFIDENTIAL
Driver Safety
Driver Drowsiness Detector
Worker Safety
Vital Sensing Unit
Smart Field Services
HMD / AR solution
• 20% of accidents are sleep related
• 500 deaths p/a are caused by sleep
and 40% relate to commercial
vehicles.
• 5050% of fatal injuries to workers
were falls from height, being struck
by a vehicle or object
• An estimated 2.1 million working days
were lost due to injuries related to
handling/slips & trips
• 1 in 3 is the average first time fix rate
of engineers in the field
• A shortfall of 30K engineering in the
next 10 years
Solutions…Smart Field Services
The HMD acts as a
communication tool between
operators and their
supervisor delivering support
and sharing remote imagery
in real time. Using the
Amplify client we can
create/support and enable
the workforce with the
material and support they
need
 Benefits
• Productivity and Ease of
Use
• Reliability and Robustness
• „„Flexibly configurable remote
communication tool
138 © 2016 FujitsuCONFIDENTIAL
Who is doing it where today
IoT Reference Cases
139 Copyright 2015 FUJITSU
Real-Time Supply Chain Visibility
Up to 80% inventory write-
off reduction by end of
2018
30% reduction in 2016
Average seek time for
critical components is
down from 2 days to 1
hour
140 Copyright 2015 FUJITSU
Smart Manufacturing for Work in Process
Real time visibility into the
velocity of the
manufacturing process
Full electronic
accountability of raw
material life cycle
141 Copyright 2015 FUJITSU
Remote Monitoring & Predictive Maintenance
IoT-enabled after-sales
support allowed for
expansion with minimal
staffing
Reduced time to fix and
improved service quality
142 Copyright 2015 FUJITSU
Proactive Maintenance with Augmented Reality
Replaced paper and
manual processes which
were quickly outdated or
required extensive training
Operators can work more
quickly and accurately with
real-time onsite access to
data and central support
143 Copyright 2015 FUJITSU
Enterprise Wearables for
Field Worker Safety
“Vital Sensing Band”
measures temperature,
heat, humidity, heart rate,
and 3D movement
Improves worker safety
with real-time monitoring
of health vitals and
surrounding environmentsNetwork Solutions
144 Copyright 2015 FUJITSU
Warehouse Operations Optimization
Finished goods handling
from manufacture through
cold storage & shipping:
improved shipping
accuracy
Truck loading time
reduced from 60 minutes
to 20 minutes
145 Copyright 2015 FUJITSU
Smart Logistics & Asset Tracking
IoT-based solution
replaced inefficient paper-
based tracking solution for
nuclear waste disposal
$8M cost avoidance due to
increased efficiency,
automated tracking, and
higher security
146 Copyright 2015 FUJITSU
Smart Logistics & Warehousing
Automates conveyor
systems and sorts goods
much more efficiently from
over 60,000 suppliers
Reduces shipment
processing time by 30%
and annual cost savings of
$4m in one warehouse
alone
147 Copyright 2015 FUJITSU
Inventory Management for Public Safety
IoT reduces complexity in
inventory management of
weapons, uniforms,
trauma kits, vehicles
Solution saves 15 minutes
per officer per shift
= one additional officer per
day in the field.
148 Copyright 2015 FUJITSU
Digitalized Hospital Bed Sheets
Digitalized bed sheets with
washable laundry tags
improve lifecycle,
inventory & sanitary
management
Reduces chances of
infectious spread, lowers
operational costs, reduces
inventory
149 Copyright 2015 FUJITSU
Technology Intelligent Care
Home Monitoring
In home environment understanding
and learning of behavioural patterns
allows a support worker/carer to
identify abnormal situations and
deliver intelligent care when needed
 Analyze live sounds in the
house to detect
abnormalities
 Estimate heat stress &
monitor movement in/out of
the house
 Detect any abnormal life
rhythms from accumulated
data in the cloud
Mobility
Using a vital band we can monitor
a users location/ condition and
detect a fall issuing alerts and
provide support when an accident
occurs.
 Detect falls by monitoring
both acceleration &
barometer pressure
 Avoid the chances of getting
heat stroke by estimating
heat stress from pulse, active
mass, temperature &
humidity
150 Copyright 2015 FUJITSU
Monitoring Solution Location Solution Innovation Solution
Technology - Industrial Sensors…….
Vital Sensing
Unit
Driver Drowsiness DetectorLocation Unit (L)
Head Mounted Display
Location Unit (S)
LD-6L
LD-7L
LD-6Lf
Remote Monitoring Station
151 Copyright 2015 FUJITSU
Sensor data
Technology - Optimised Algorithms…….
Acceleration
Gyro
Geomagnetism
Atmospheric pressure
Sound
Pulse wave
Temperature
Humidity
GPS
Posture of the body
Falling and tumbling
Risk of heatstroke
Tiredness
Location
Geo-Fence
Breathing Disorder
Who’s fallen
Where did it occur
Is it a Restricted area
Has the level of risk
increased
Do they need assistance
Is that unusual behavior
Are they alert
Is that space available
Will they collide
Where is the item
How do I find it
Algorithms analyze sensor data and convert that raw data into meaningful data. Once you have meaningful
data then this can be converted in valuable information to deliver benefits
Sensor Algorithm
Firmware
Middleware
Meaningful Data Valuable Information
152 Copyright 2015 FUJITSU
 Our Smart TVs record
your living room chatter
Security – increasing challenges
 Fiat Chrysler issued a safety
recall affecting 1.4m vehicles
 Russian Boris bicycles,
Payment hacking
 Top 10 Breaches each
exposed between
10-80M accounts in 2015
153 Copyright 2015 FUJITSU
 Leaping the Chasm from proving technology to real business value
 Identifying stakeholder ecosystem
 Future proofing
 Commercial models and partnerships
Leaping the Chasm
POC
154 Copyright 2015 FUJITSU
Summary
IOT- ‘the infrastructure of the information
society’
Less or no boundaries for Customers
Fast Dynamic IT
New markets
New Commercial Models
New Partnerships
155 © 2016 FujitsuCONFIDENTIAL
Information Classification: Restricted
156
Introductions
Information Classification: Restricted
157
Internet of Stuff
= ?
Information Classification: Restricted
158
Internet of Stuff
Information Classification: Restricted
159
Internet of Stuff – Is that all there is?
Information Classification: Restricted
160
Internet of Things
Information Classification: Restricted
161
Internet of Things
Information Classification: Restricted
162
Internet of Things
Information Classification: Restricted
163
Internet of Things – Under the Bonnet
Information Classification: Restricted
164
Internet of Things – The Hardware
Information Classification: Restricted
165
Internet of Things – Machine to Machine
Information Classification: Restricted
166
Internet of Things – Machine to Machine
Information Classification: Restricted
167
Information Classification: Restricted
168
Digitally Charged Products
Information Classification: Restricted
169
Measurable World
Information Classification: Restricted
170
IoT - New Business Models
Physical Freemium
Object Self Service
Digital Add On
Product as a Point of Sale
Information Classification: Restricted
171
Real Time Analytics
Information Classification: Restricted
172
Measurable World
Google = Online
IoT = Everything else
Information Classification: Restricted
173
Customer experience through personalization
Hyper-Personal Service
High Resolution Service
Information Classification: Restricted
174
High-Resolution Service
Information Classification: Restricted
175
High-Resolution Service
Information Classification: Restricted
176
Privacy? The IoT guys are still balancing that.
Information Classification: Restricted
177
It’s Working! A Measurable World
Information Classification: Restricted
178
It’s Working! A Measurable World
Information Classification: Restricted
179
It’s Working! A Measurable World
Information Classification: Restricted
180
What we’re seeing
 Manufacturers move towards being Service Providers
 Industry and Internet Cultures are coming together
 Business value to eco-systems of manufacturers, developers
and cloud providers is enormous.
 Tailoring for these opportunities won’t happen in the
boardroom. It needs iterative hardware + software
development
 The first IoT ideas focus on straight forward solutions
 Growing sensitivity of product design to the value and
dangers around user data
Information Classification: Restricted
181
Any Questions? - Ask the Machine
Scott Maxwell
smaxwell@brightsolid.com
Alexa
alexa@amazon.co.uk
Architectural considerations
in an IoT world.
Nigel Ashworth
Solution Architect EMEA
F5 Networks
September 2016
© F5 Networks, Inc 183
• IoT Market and where we are today
• IoT End-to-End Challenges
• Security
• Scale
• Visibility
• Use case
Agenda
© F5 Networks, Inc 184
Internet of Things (IoT)
Create values in a “connected
society” with enhanced services
that are seamless and consistent
1 million vineyard acres
380 million connected cars
$10 billion smart home market
300 million smart meters
100 million street lights
$117 billion smart healthcare
market
© F5 Networks, Inc 185
Global M2M/IoT Connections: 2015-2020 Evolution
Global mobile M2M/IoT connections
Source: Cisco Visual Networking Index 2015–2020
Global M2M today is 50% of internet traffic
What is Different ?
© F5 Networks, Inc 187
What is Different ?
Machine 2 Machine
Matrix conversations
MQTT and CoAP
Message and
Subscriber Security
with SSL
Very High Numbers
Long lived
conversations
Web IoT
User 2 Machine
Internet / Intranet
HTTP and HTTP2
Network and Web
Based Security
Moderate Numbers
Short lived
conversations
© F5 Networks, Inc 188
Are IoT Solutions Ready for these Challenges?
Security
© F5 Networks, Inc 190
IoT Outlook 2016
IoT Security Key Findings
Source: Telecoms.com Intelligence IoT Outlook 2016
Key Finding 1
Nearly two thirds of
respondents believe IoT
will present new and
unique information
security challenges.
Key Finding 2
An additional two
thirds think IoT is
more vulnerable to
security leaks due to
the volume of
devices and traffic
being generated.
Key Finding 3
One in three
respondents
think they don’t
experience any
DDoS attacks at
all.
Key Finding 4
45% of all
respondents feel that
reputational impact
and financial loss are
the biggest threats
facing their business
form a IoT-targeted
DDoS attack.
© F5 Networks, Inc 191
Internet of Things Adoption – Importance of Security
Enterprises: What are the key inhibitors to IoT adoption?
Sources: Gartner and Infonetics Research
© F5 Networks, Inc 192
New Threats and Security Perimeter Challenges
Each layer in
the Internet of
Things is
susceptible to
a variety of
attack vectors
DEVICE ATTACKS
NETWORK ATTACKS
APPLICATION ATTACKS
Source: IBM X-Force Research and Development
The businesses responsibility to protect
customers, partners and the companies data
that could well be beyond the Datacenters
What is the biggest cost to
your business as a result of
an IoT-related DDoS attack?
Reputational damage
Risk of virus/malware infection
Loss of IoT connectivity
Financial impact
Personal data loss
The cost of IoT insecurity • Our thoughts turned to the potential
repercussions for managing IoT
traffic. In this case, 32% deemed
this the biggest risk associated with
a network or data breach in IoT.
With negative reputation
consequences comes distrust from
users, and therefore a potential rise
in churn and downturn in financial
fortune.
Source: Telecoms.com Intelligence IoT Outlook 2016
Responses
Reputational damage 32%
Loss of IoT connectivity 24%
Personal data loss 19%
Risk of virus/malware infection 13%
Financial impact 12%
© F5 Networks, Inc 194
The OVH founder said that the attack had used IoT
devices to mount the attack including hacked CCTV
cameras and personal video recorders. “This botnet
with 145607 cameras/dvr (1-30Mbps per IP) is able
to send >1.5Tbps DDoS.
Attack Type: tcp/ack, tcp/ack+psh, tcp/syn,” he
tweeted.
© F5 Networks, Inc 195
Threats to End-to-End IoT Application Security
IoT Platform
MQTT/TLS
MQTT/TLS
HTTPS
Gatewa
y
Gatewa
y
MQTT/TLS
HTTPS
MQTT/TLS
HTTPS
Custome
rs
DDoS
Attack
HTTPS
Eavesdroppe
r
Things Compromised
Resource depletion
Protocol abuse
Poisoning data
Next Generation
DDOS – Krebs !
Battery depletion False Data input
Cipher aging
Delivery
© F5 Networks, Inc 197
Advancing to End-to-End IoT Application
IoT Platform
MQTT/TLS
MQTT/TLS
HTTPS
Gateway
Gateway
MQTT/TLS
HTTPS
MQTT/TLS
HTTPS
Customers
HTTPS
Things Brokers Servers Consumers
© F5 Networks, Inc 198
Advancing to End-to-End IoT Application
IoT Platform
MQTT/TLS
MQTT/TLS
HTTPS
Gateway
Gateway
MQTT/TLS
HTTPS
MQTT/TLS
HTTPS
Customers
HTTPS
Things Brokers Servers ConsumersIoT Platform
© F5 Networks, Inc 199
IoT at Scale
Connected Devices
MQTT Broker
MQTT MQTT
• Customer scaling numbers
in Millions and one in
Billions
• POC vs Architecture
IOT Stage Advanced Intermediate Early
Protocol HTTP - MQTT MQTT MQTT / CoAP
Key Challenge Scalability / Message
Management and
Security
Security Security
© F5 Networks, Inc 200
Delivering Scale
Connected Devices
VIPRION Platform
Or
Virtual Edition
SSL
offload
MQTT Broker
MQTT Load
Balancing
TLS CERTIFICATE
SUBJECT ID
MQTT traffic
Cert-based
Authenticatio
n
MQTT
SSL Offload with Full Proxy
now allows for Visibility and
decision making
© F5 Networks, Inc 201
Delivering Scale and Beyond
Connected Devices
VIPRION Platform
Or
Virtual Edition
SSL
offload
MQTT Broker
MQTT Load
Balancing
TLS CERTIFICATE
SUBJECT ID
MQTT traffic
Cert-based
Authenticatio
n
MQTT
• MQTT message
steering
• Programmability L7
• High Availability
• Topic filtering /
caching
• Protocol security /
validation
SSL Offload with Full Proxy
now allows for Visibility and
decision making
Visibility
© F5 Networks, Inc 203
Visibility
F5 Confidential 203
APM
IoT Access Control Architecture
(0)
Authenticate
& Authorize
Access Policies
(2)
(2)
Deploy
Deploy
(4)
Request
(5)
Response
A
.
2
A.
1
IoT Environment in Field
Gateway
Device
Thing B.1
APM
Access Policies
(3)
Proxy
(1)
(1)
Configure
Configure
Access Policies
Access Policies
Gateway
A.1
Device A.2
Device
B.1
Owner A
Owner B
• Thing /
Identity and
Context
• History
• Statistics
• Analytics
• Planning
© F5 Networks, Inc 204
• Dashboard
• Geolocation by state
• Geolocation by country
• Geolocation by region
• Concurrent Sessions
• Session Throughput
• Access by Thing
• Access Types
• Top Things by identity
• Top Things by throughput
• Thing Type over Platform
• Auth Success vs. Failed
• Access by IP
Reporting for Things
Use Case
© F5 Networks, Inc 206
• Unauthorised packets
sent to car
• Malware created
• Exposes on-board
controller (OBC)
• Sends bad packets
• 3/4/5G access
Case Study – Connected Car Security
Audio
On-board controller
Diagnostics
Telematics
Safety sensors
Source (image): Broadcom
© F5 Networks, Inc 207
Firewall / DNS Firewall
Embedded client
certificate 2K keys
3G/4G card embedded
Customer tethering
Inputs
2-3 millions concurrent connected
cars with 5-7 individual SIM cards
Smart
phone
DNS
Firewall
Internet
Identity validation serverReporting
MQTT Broker
Connected Car Reference Architecture
IOT
APP
DATA CENTER
SSL
authentication
SSL offload
Protocol analysis
IPSec backhaul
MQTT load
balancing DNS load
balancing
DNS DDoS
protection
DNS
ADC
Application
firewall
SSL offload
SAML IDP
App Protection
Protocol
Transformation
CGNAT
© F5 Networks, Inc 208
Advancing to End-to-End IoT
IoT Platform
MQTT/TLS
MQTT/TLS
HTTPS
Gatewa
y
Gatewa
y
MQTT/TLS
HTTPS
MQTT/TLS
HTTPS
Custome
rs
DDoS
Attack
HTTPS
Eavesdroppe
r
• Security is a critical component in an end-to-end IoT architecture - Getting it
wrong may have very severe consequences to the business. It is not an
afterthought due to time to market concerns
• Scalability - There is no small scale IOT deployments, Architect beyond the POC
• Visibility - Identify and trend the things to Plan ahead.
IoT

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IoT Scotland 2016

  • 9. A national centre to rapidly advance the UK’s best digital ideas Not for profit, private limited company Completely neutral 1 2 3 WHO WE ARE
  • 10. WE’RE HERE TO CREATE…
  • 11. New jobs New services New products GVA for the UK economy 1 2 3 4 WE’RE HERE TO CREATE…
  • 12. By 2018 we aim to £365m of additional economic revenue Make a difference to 10,000 organisations UK digital market is valued at more than £100bn Growth on the Internet represents 23% total UK GDP 2004-2009 OUR VISION £
  • 13. OUR 4 TECHNOLOGY LAYERS • Immersive • Distributed • Connected • Intelligent
  • 15. 50bn connected devices by 2020. China investing $800m in test-beds. India, Singapore and Korea doing similar… Only 0.2% of things that can be connected, are connected. $1.9tn of global economic value add (Gartner). $4.6tn global public Sector alone (Cisco). INTERNET OF THINGS Sharing and generating IoT data Connected Products Studios Convening projects around large-scale demonstrators
  • 16. What do we know (or think we know)? • The UK has a leadership position in IoT research (135 specific projects, £122m in funding, 89% UK-funded) • Focus areas for public funding spend are cyber-security, healthcare, privacy and trust, transport (although most private-sector activity by scale is in smart-home) • VC/private investor spend (£42m+ 2015) is mostly in software apps layer, in smart-home and smart-buildings (healthcare and security are called out as “hot” next markets) • Trickle-down from research spend or VC funding is not at optimum (SMEs, especially outside London, struggle to participate in the global IoT market even with UK leadership in research)
  • 17. KNOWLEDGE INTEROPERABILITY INFRASTRUCTURE/ PLATFORMS TECHNICAL SKILL/ TECHNOLOGY CAPITAL CUSTOMERS What are the blockers for SMEs in IoT? It’s a complex and confusing market, with very little benchmark data or authoritative market evaluation Standards are unproven, or still being formulated. Working across ecosystems is challenging Costs of entry are too high: regionally, infrastructure provision is inconsistent Demonstrating technical competency at scale is challenging (to commercial prototype) Outside of London, Cambridge and Glasgow, little private sector funding is available High-potential but risk-averse markets like healthcare have lengthy and unhelpful buying practices Lack of commercial risk models hampers the development of cross- sector ecosystems to help leverage scale
  • 21. 21 MISSION  Create a national innovation support programme around LPWA testbeds in different UK regions to strategically support local IoT sector growth  Empower UK businesses, innovators and communities with the knowledge and skills to become quickly productive on top of LPWANs  Bring together demand and supply side stakeholders to accelerate the path to market for LPWAN based solutions  Establish strong ties to international LPWA initiatives to export success easier to different regions Jumpstart the UK LPWAN eco-system by lowering barriers for technology access, innovation and market access for UK entrepreneurs and SMEs
  • 22. Open calls Hack days Showcase opportunities and so much more THANK YOU! #DigiCatapult
  • 23. Prof. Keith Ridgway The AMRC with Boeing #iotscot @TheAMRC
  • 24. Confidential. © 2015 AMRC with Boeing. Improving the Process: Using IoT and Advanced Technologies in Manufacturing Professor Keith Ridgway
  • 25. Confidential. © 2015 AMRC with Boeing. The journey Professor Keith Ridgway Factory Information BUS
  • 28. 28
  • 30. 30 •New ways of working •New Business Models •More analytics • New Processes • New Materials • New methods of manufacturing • Batch size of 1 • Delivered yesterday • Mass Production • Minimize Waste Lean Agile Data Driven Advanced Technologies Greater Expectations Digitaltwin Morefrom Less What is happening? Image after: CSIRO Next Generation Manufacturing • Additive • Composites • Nanomaterials • Bio • Flexible • Remote Collaboration • Virtual Prototyping • Servitization • ‘Next Shoring’
  • 31. The Factory of the future? 31 • Sustainable and green manufacturing. • Improved and simplified ICT • Advanced robotics and intelligent manufacturing systems. • Next generation materials with novel functionalities • Reconfigurable facilities and fast ramp up as demand grows • New business models such as servitization • Talented, well educated and creative people
  • 32. Advances at Factory Level: Factory 2050 32
  • 33. 33
  • 37. 37
  • 40. Digital manufacture 3D printing 40
  • 42. Advances at Machine Level: Sensing 42
  • 43. 43
  • 44. Disrupters 44 1. Astonishing rise in data volumes, computational power, and connectivity especially new low-power wide-area networks 2. Emergence of analytics and business intelligence Capabilities 3. New forms of human-machine interaction such as touch interfaces and augmented reality systems 4. Improvements in transferring digital instructions to the physical world, such as advanced robotics and 3D printing. High awareness but low adoption of Industrie 4.0 and IoT
  • 45. How has technology changed things? Manufacturing is changing! The latest drivers • The 4th Industrial Revolution (Industry 4.0) • Cyber-Physical Systems • The Internet of Things • More things, more connected • Big Data • More data, from more things that are more connected 45 Image : Christoph Roser at AllAboutLean.com.
  • 46. Yes it does! It applies at every level throughout the value chain – the only thing that might differ would be the level of investment To be of value to your world, all you need is data and a level of connectivity. 46 Your Customers Your Company Your Supply Chain Other Customers Other suppliers Does it apply to me?
  • 47. 47 SENSORS / EQUIPMENT TEMPERATURE LOCATION ACCELERATION HUMIDITY PRESSURE VIBRATION IMPACT DELIVERY OF INFORMATION RIGHT INFORMATION RIGHT TIME RIGHT PLACE RIGHT PERSON RIGHT DEVICE RIGHT FORMAT Interconnected Manufacturing Environment 47 Factory Information BUS no REPORTINGANALYSISDATA STORECLOUDANT / LOCAL CLOUD FACTORY PLANNING MES / ERP / PLM TABLETWEARABLE PHONE LAPTOP / PC ALERTS / JUST IN TIME INFORMATION / WORK INSTRUCTIONS / PROCESS / PROGRESS INFO CUSTOMERS / ORDER INTAKE LOW POWER BLUETOOTH / WI-FI / RFID / FACTORY LAN EMPLOYEES INTELLIGENT DECISIONS / ANALYTICS FEEDBACK DASHBOARD INTERNET / WEB PORTAL SUPPLY CHAIN LIVE DATA USER FEEDBACK / VALIDATION HISTORIC DATA
  • 48. Challenges Legacy – the majority of equipment in the supply chain is not connected Data handling and storage – Massive amounts of data is being generated Standards – There are no globally accepted standards (yet) Security – More connected devices mean more connected targets Skills / Knowledge – What should we use, how should we use it, how do we train young people entering this world, who needs the training? 48
  • 49. Manufacturing Informatics 49 Sensors/ Devices Connected Man/Machine/ Process Edge Processing Distributed Control Machine Learning DES/Digital Twin Cloud Analysis Factory Management Visualisation/ Dashboard/Reporting BIG DATA IoT AMRC SCOPE PLM/ CAD/CAM Supply Chain Customer Requirements SECURITY + PRIVACY
  • 50. Benefits Greater visibility of activities across the value chain which may impact on you – meaning fewer surprises! • Increased competitiveness through agility • Reduced risks • Increased opportunities 50 Your Company Your Customers Your Supply Chain Other Customers Other suppliers
  • 51. But we still need to make it! 51
  • 52. Confidential. © 2015 AMRC with Boeing. Email: web: amrc.co.uk Twitter: @theAMRC Thank you. For further information please contact or visit: k.ridgway@amrc.co.uk
  • 54. #neatebox *If you post about this presentation be sure to add this hashtag
  • 55.
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  • 65. Morning Breakouts Please check rear of badge #iotscot
  • 67. Panel Discussion Hosted by Simon Montford @WEB3IoT #iotscot
  • 69. September 2016 IoT Scotland Paving the Foundations for IoT and smart transport systems CTO, FirstGroup September 2016 CIO, FirstStudent Richard Thorp
  • 70. September 2016 IoT Scotland 70 FirstGroup Overview
  • 71. September 2016 IoT Scotland Why Now? 71 Adoption of Mobile Devices Cost of Bandwidth LTE Cost of Sensors Cost of Processing Big Data Frameworks
  • 72. September 2016 IoT Scotland Cellular Coverage 72
  • 73. September 2016 IoT Scotland Vehicle Environmental Challenges 73 Environment Antenna Installation and Maintenance Parasitic Draw SIM Concerns
  • 74. September 2016 IoT Scotland Transform Back Office Systems 74 Safety Charter Systems GLI Branch Operations & Scheduling School Districts Enterprise Applications Point of Sale GLI ISS Websites Financial Systems Chase PaymenTech Time & Labor First Student Branches HR, Benefits & Payroll Risk Management JDE AP10249 AR Interfaces BMD Rochester AP10175 Trans Trak AP10051 RMS AP10284 Inv Inv Inv Inv ALL STARS AP10002 AR AR/AP Inv External Apps AR/AP/INV/GL Concur AP10264 JP Morgan (Lock Box) Fuel Quest AP10429 TEM Pcard AP10167 TD Bank (Canada) Canada (Vancouver, Cardinal) Purchase Order Viewer Purchasing Dept Vehicle PO Orders Kyriba Treasury Workstation FTP First Invoice AP10356 or AP10010 Vendor Mastor eBranch Charter/Invoice AP10350/AP10353 AR/Inv Customer 1099 Annually AP Batch Phone Log AP/AR PI Reports Other Reports PI Financial Budget BICS/BMCH AP10312 AR/Inv ERES Report Vertex US Tax Prep AP10080 UK Reports Cognos PowerPlay & Reporting on B&F) BI Data Mnthly Forecasts Branches in US Forecasting Budget Microsoft Excel Forecasts, AR Inv DocPath AP10256 Print Invoices R2P Connect Direct AP10424 EDI(PO, RA, POCR, ACT) Sterling Commerce Vendors Vendors BSS Punch Out Http Mileage Reporting AP10412 BU, Region, Super Reagion RSG Claim Data Bus Mileage per Day and Area. Used by Shop & Area Mgrs “Glen Black” Accident Freq. Other Sources NCES National Center for Education Statistics Ohio Workers Comp Claims Crawford Sedgwick CMS, Claims & Property Mgt Washington Workers Comp Claims Claims Crawford Employees Claims WCBPro AP10056 Canada Claims Claim Reports Field Management Claims Government Agencies Vehicle Management Driver Driver Defect Report Branch Shop Manager Branch Level Reports Repair Request Third Party Customer Repair Request Recall Notice Warranty Center Recall Notice Warranty Claim Rejected Warranty Claims Vehicle Maintenance System AP10058 Tech Task Hours Work Orders. Assignments & Completion Data Vehicle Data, Location & Mileage Warranty Claims Recall Orders International Bus Sales Vehicle EDI Files EmanioVehicle EDI Files Vehicle Data Vehicle Data via FTP Fleet Coordinator Vehicle Data Buses Reports First Student Bus Operations St Louis Schools BOP AP10032 Vehicle Download ARC GIS AP10030 Geospatial Data ZONAR Systems AP10020 ZONAR On-Board Devices Location Mileage Speed Branch Staff Routes St. Louis School District Routes FOCUS AP10373 Geospatial Data GPS, Idling Vehicle Download School District Live Routes Branch Staff Live Routes Edulog or Versatrans Student Routes Route Corrections Student Routes Route Corrections Student Routes Stops Stops Student Routes Routes Route Assignments Stops BMD(Branch Mgmt Dispatch) Routing Apps (Trapeze, BusStops, etc) Map Point Navitrans Routs First Transit Bus Operations Drive Cam On-Board Devices Drive Cam Systems HTTPS DDS and Branch Managers HTTPS Business Units & Hierararchy LES People Soft HR AP10258 Employees Employees Employees Survey Consultant Employee Data Previous Emp. Verify Applicants Emp Data Non-Staff Emp Compliance iTrak Accidents ADP EV5 AP10149 Employees Paycheck W2 IRS W2 Gov SSN Ver EEO Rpt TALX Tax Credit Watson Wyatt Pension Evaluation ADP Employee Portal Wells Fargo 401K Group Associates VSP Healthwise Choice United Health Choice (UHC) Other Benefit Providers Cerdian CIGNA Dental MetLife HIP QCare COBRA ADP WEB GL AP10152 Payroll Shared Services Payroll Interface HR Data Updates Payroll Data Pay Check Excel Transtrak AP10052 Schoolbus.co m OPS AP10359 Advantage T&A AP10060 E-Branch Payroll AP10354 Jeff Joll BMP AP10360 Q-Quest (Transit) AP10016 JD Thomfor AP10041 EPIP EPIPEPIP EPIP EPIP EPIP EPIP EPIP EPIP US Branches Ebranch MSD SQL Server Ebranch DDS AP10351 Ebranch Swipe AP10037 Ebranch Dispatch AP10352 Emp Updt Applicants, Employees, Contractors, Compliance, Training Driver Start Time Trip Sheets Applicants, Employees, Contractors, Compliance, Training Drivers Start Times Trip Sheet Time and Attendance Emp Upd Fill Employee Time and Attendance Real Time Previous Employment Verification Exempt Emp Deferred Comp Banks PC Pitney Bowes Check File Pay File Vendors, Suppliers, Employees, etc. Mail Check Deposit Reconciles AP Payment Positive Pay File FGA Customers LES Payments Payments OLATHE Payride CC Payments Olathe, KS Branch Payment Notification Shared Services Payment Notification AR Payment Payment Notification Payments Payment Student Addresses Canada Tax Prep Input Invoices, Receipts, etc. Org Hierarchy Changes Hyperion AP10253 Data Warehouse AP10111 BU, GL Accts & Bal, Inv, Xign Inv Detail GL Accts. Budget Amounts Employees, Job History, Compliance, Earnings, Hours & Pay Head Count, Compliance, Overtime Hours Vehicles Payments Vehicle Updates & Financials Vehicles & Mileage Data Stream AP10407 PI Maintenance Vechicles CoA, Expense Codes, Supplier Master, AR, AP INV Vendor/AR,AP,INV, GL Service NowBigFix P-Sync CA People Soft AP10170 Legacy FGA PCPW CA Only EPIP CSI Emp Updt Thomas International Profile Assessments Avatar Online Training Driver Training Results Personal Profile Page-1 FGA Integration July 2010 V5.1.vsdFile Name Author Keith Talbot 4/21/2014Last Update Created 7/7/2010 1 of 1Page Page-1 Number Confidential & Proprietary ©FirstGroup America, 2010 TRIPS Core TRIPS/CTRIPS module AP10392/AP10557 GPX AP10375 Claims AP10378 CRIS Aloha AP10267 Agent Memo AP10186 Express AP10363 Gateway Customer Service Marketing Student Advatage Sales Accounting TIC Tax Resource Management GPX Bags AP10377 PPF Gen AP10390 Schedules Max AP10366 Kiosk NextJet AP10473 Road Rewards Ticket Scanner E-Tickets HoundBucks AP10482 Warehouse Baggage API AP10549 Discovery Pass Web Host Interface AP10394 Attunity CS STARS AP10277 HR-1 AP10261 Payroll Data Wachovia Service Awwards Aetna Delta Dental MHN CIGNA VSP 401K Time in Service Eligibility Eligibility Eligibility Eligibility Eligibility DirectPay AMS Rewards Employee & Performance Data Employee Data AFLAC Quorum Legacy GLI PCPW Employee Data 401K Union Data Benefit Elections For Union DriversEmployee Changes & 401k Data ADP Gross Pay Pay Data Driver Pay AP10298 Employee Data Changes Hours, Pay Earnings Type Legacy GLI Kronos 3.X Hourly Employee Data VRU AP10531 Pay History Driver Screens AP10332 Load Count Entry AP10333 Driver Uniforms AP10300 Driver Status/Location ORDS Reporting Rair Technologies Safety (US/Sybase) Safety (CA/Sybase)Road ChecksIPP Portal Driver Mgmt Data & Certification ReconNet Winocular Imaging AP10271 Legal Contract Legal Search BOSS AP10293 Driver Planning AP10299 Tool Kit Driver Info Entry Lift Info & Ticket Sales Driver Employment Status Charter Desk CA Charter Desk US Banks Legacy GLI Positive Pay File GLI CC Transactions Deposits Invoices F03B11Z1 Customer Master F0301/F0101 LockBox Data Meal Stop Pelican Food Service AR Only IF 13.29 IF 13.46 Western Union Sales GLI Deposit Information FareFinder AP10565 Ticket CenterPrint@Home ESRI AP10460 Internet GLI Interline Partners Sales & Refund Data ID Server DR Quote IVR AP10270 Batch Extract AP10361 Processing STEPs/C-STEPS AP10310/AP10537 Configuration And Sales Files Field Audit Flagged Activity GPX Activity IF 12.23 & CA 11.23 Agent Commission Info Agency Sales Acct. Tool IF 13.30 & 13.31 Lift Info & Ticket Sales Revenue AP10291 Ticket Sales Carrier & Agent Detail GL/AP/AR Account info And POS activity & Yearly 1099 data POS deposits, credit cards, adjustments and Western Union sales Reporting Systems Legacy GLI Hyperion AP10511 Panorama AP10446 MS Reporting Services AP10450 SPAR AP10309 EIS DSS/DSS-CA AP10316/ AP10506 Extraboard Print Journals Driver Training Needs Tour & Cycle Info Driver Training Needs Food Service GOA TBM/WC Sales GLI Vehicle Maintenance MCMS AP10276 Roadside Fuel AP10307 Invoices AS400 AS400 POS Upload BBM AP10414 Foreign Carrier Billing Carrier Billing System Foreign Carrier Completed Work Orders (via FTP at Month End – user initiated) CA 11.17 IF 13.21 Sales Heat CAC AP10100 Common & C-Common AP10532 Team Track SCPS/ CSCPS Exchange E-Mail AP10136 Financial info from manual agencies Active Employee Data Carrier & Org Schedule & Stop Responsibility Codes IF 13.26 Daily Sales Tool AP10335 GL Journal IF 13.24 IF 13.32 IF 13.22 IF 13.36 CA 11.12 Treasury Tool AP10318 Location Data & TBE Info Terminal Agent Sales Incentives Payout Bus Schedule Cadec AP10280 Automated, Batch Data Flow Manual Data Flow LEGEND Data Entry Automated, Real Time Data Flow Flow is in Development Only (not in production) Canadian system Internal Group of People Third Party System Developed System ASP/SaaS File Report Third Party Group of People Logical Groups AP10*** Application ID DocuSphere AP10402 CapEx Workflow engine DocuSphere Content Mgt DocuSphere Workflow Engine Invoice Images Meta data Invoice Auto Vouchers AnyDoc Invoice Imaging PO, Company, Vendor Data Kronos(WAR) Emp. Data Time & Labor EPIP BMDDS AP10314 JJ Keller AP10282 BIPE AP10461 Crystal Ent. Tomcat July 2010 Draft Driver Data EPIP File Load Microsoft ISA AP10575 Revision History Version Author Notes 5.0 Keith Talbot Consolidated business units 5.1 Keith Talbot Minor Updates and Application Addtions Date 2010/July 2010/July TransLink (Western Union) AP10576
  • 75. September 2016 IoT Scotland Data Needs to be Stored and Analysed 75
  • 76. September 2016 IoT Scotland Cost Management 76 COST Equipment Fitout Runaway Processes Update Frequency Aggregation Plan APN MDM Data Storage
  • 77. September 2016 IoT Scotland 77 Partnerships • Internal and External Collaboration Imagine Future State • Imagine the End State and Plan Backwards Focus • Target 1-2 areas that will move business forward Getting Started Source Data Aggregate Predict
  • 80. Background to Route Monkey… o An award winning SME, established in 2009 , employing 30 staff. Recently became part of the Trakm8 Group. o Route Monkey owns the IP for tried and tested advanced optimisation algorithms that drive efficiency in the transport and mobility sector. o Working with Heriot Watt University and Professor David Corne a world expert in algorithm development. o Our cloud based software is deployed with over 500 customers across the UK and abroad. o We are highly experienced in utilising telematics data, and integrating our algorithms with customer systems across multiple platforms. o Route Monkey is account managed by Scottish Enterprise and is working closely with Transport Scotland, Innovate UK and The Transport Catapult.
  • 81. Quantum, EVOS & Charging Optimisation… • Routing & Scheduling software underpinned by our unique algorithms developed and IP owned by Route Monkey • Map routes & duty cycles from GPS long/latitude data • Dynamic scheduling, capable of handling time slots and multiple load types • Calculates costs • Can interface with telematics, in vehicle data loggers, PDAs, customer management systems etc • Able to schedule electric vehicles (taking into account range, charging profile, topography, weather etc)
  • 82. From Transportation to Systemic Mobility… • Siloed and disconnected modes • Inefficient traffic flows • Limited use of technology • Individual units • Constant Connectivity (roads, cars, cities) • Optimised movement • Flexible based on mode, time preference and cost
  • 83. The tools for connected road transport…
  • 84. Connected Road Transport v1.0 Integrated Telematics and Real Time & Scheduling
  • 85. Case Study – Single Fleet - Iceland
  • 86. Low Carbon Freight Partnership – multi fleet o Global collaboration in decarbonising freight o Demonstration sites in up to 10 cities in 2016 o Optimisation to save 15%-60% CO2 Single fleet optimisation case studies have proven to provide 5-20% of savings through optimisation, but there is no collaboration involved. 2 types of collaboration believed to have largest impact on efficiency: Sharing of information among logistics providers Sharing of assets to improve utilisation Sharing allows better consolidation and smarter use of EVs
  • 87. Connected Transport Where mobility meets energy… • Optimisation of low carbon vehicles within fleets to maximise the range and carbon savings • Optimisation of recharging of electric vehicles according to tariff (time of use), supply constraints and local network constraints • Energy storage and potential for vehicle to grid services
  • 88. Vehicle ownership models are changing … • Increasingly conventional ICE vehicles are being viewed as “stranded assets”. • City car clubs are becoming a preferred option – 135,000 members in London in 2015 with a target of 500,000 by 2020. • Currently 1 car per 58 users – aim to increase this to 1:100 through increased efficiency of vehicles. • Car clubs are cheaper than ownership, no hidden costs (road tax, parking permits, servicing). Pay for the miles you use. • Uber, Karhoo and other apps disrupting the taxi market. 90,000 taxis in London, expected to rise to 128,000 in the next two years. • Location and journey planning apps
  • 89. Connected & Autonomous Vehicles …
  • 90. Connected & Autonomous Vehicles … • Able to handle complex decision making based on driver needs, surrounding environment, remote data • Improved road safety eg lane departure, blind spot monitoring, speed limiter • Reduce emissions eg reduced stop/start congestion, improved aerodynamics • Reduces operating costs eg driverless, 24 hour a day • Saves passengers time eg parking assist, car to your door, traffic jam assist • Redefines driving time
  • 91. Executive Summary o The way we view transport is changing and is becoming increasingly connected to ICT and Energy. o Dynamic scheduling for fleets will become the norm. o Fleets stand to benefit from better utilisation of assets. Increased efficiency, improved customer service and greater transparency. o As the take up of electric and other low carbon vehicles continues to increase there is greater need for optimised planning and in-journey management. o Energy storage through vehicles (battery, hydrogen) is an opportunity to drive additional value. o Traditional ownership models are changing, with conventional ICEs “stranded assets” the majority of the time. Connected transport ensures the right vehicle, in the right place at the right time. o In the (not too distant) future, this will be facilitated by autonomous vehicles.
  • 92. Point of Contact: Kate Armitage Projects & Strategy Director Route Monkey 2A Houston Interchange Business Park Livingston EH54 5DW kate.armitage@routemonkey.com M: 07833 496 820 T: 0845 643 5731
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  • 110. Revolutionall World “the home of the connected journey” – cheaper, cleaner, greener.
  • 111. Vision – Be the global “go to” place for sustainable, connected living and transport technologies Mission – To enable everyone to reduce the negative environmental / financial impacts of transport and for us to be seen as the "home of the journey”. We are the gateway to customers K.P.I.s • Economic • Environmental • Social • Customer satisfaction • Employee engagement Market highlights • £8.6tn global smart mobility market • Electric and low emission vehicle market set for rapid growth • £51bn annual opportunity for electric cars in UK alone • 30 billion connected devices by 2020 • Business and consumers unprepared for the connected and low emission world
  • 112. The Proposition “Collabratory” Visitor Experience Test Track Business CentreEducation CentreSMART Tourism Centre Café & Shop Classic and supercar conversion to electric or hydrogen Business and Education Outreach Revolutionall “on tour” Export / Franchise App Development • Connected Home • Connected Office • Connected Transport
  • 113. What will we achieve at Revolutionall World? • 1000 business reviews • 2000 connected low emission vehicle sales per year • 500k teas, coffees and cakes • 40,000 simulator experiences • 1m online and shop sales per year • 4 world leading conferences a year • 26,000 test drives / track experiences • 20,000 SMART tourism connected vehicle hires • 80,000 pieces of independent product feedback for developers of new innovations
  • 122. The team Strategic supporters Strategic partners John Curtis Founder Board & Investors Heather Curtis Founder Advisory Panel Head of Tech Head of Fun Head of Buildings Head of Money Head of People John Curtis • Ex Head of Sustainable Transport, Scottish Government • Leading independent expert on low carbon economy & transport • Lawyer Heather Curtis • Ex Head of Continuous Improvement, Capita, UK & India • Lean Six Sigma Black Belt • Member of Chartered Institute of Bankers We are a family business becoming a business family
  • 123. 35.6 38.9 42.7 47.1 51.8 23.5 24.9 26.8 28.9 31.3 12.1 14 15.9 18.2 20.5 2018 2019 2020 2021 2022 Financial projections (£m) income costs profit The 5 year financial forecast
  • 124. Join us… John Curtis Founder & CEO Revolutionall World +44 7515 761300 John.curtis@revolutionall.com @johnwcurtis @revolutionallUK @revolutionallUK mrjwcurtis
  • 127. 127 © 2016 FujitsuCONFIDENTIAL
  • 128. 128 © 2016 FujitsuCONFIDENTIAL What is IoT ?
  • 129. 129 © 2016 FujitsuCONFIDENTIAL IOT A definition  Kevin Ashton (born 1968) is a British technology pioneer who cofounded the Auto-ID Center at the Massachusetts Institute of Technology (MIT), which created a global standard system for RFID and other sensors.[1] He is known for coining the term "the Internet of Things" to describe a system where the Internet is connected to the physical world via ubiquitous sensors  The internet of things (IoT) is the internetworking of physical devices, vehicles, buildings and other items— embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data.[1][2][3] In 2013 the Global Standards Initiative on Internet of Things (IoT-GSI) defined the IoT as "the infrastructure of the information society.“
  • 130. 130 © 2016 FujitsuCONFIDENTIAL Expanding Connections 1960 1980 1990 2000 2010 1M 10M 100M 1B 10B Mobile Internet Broadband InternetPCMicro Computer Main Frame 50 Billion 2020 Internet Of Things The advance of IoT UBIQUITOUSFRONT the interface between ICT and people developed via enterprise & consumer markets now evolving into the world of IoT
  • 131. 131 © 2016 FujitsuCONFIDENTIAL Shift from Industries to Arenas? FUJITSU RESTRICTED - UK & IRELAND EYES ONLY Transpor t & logistics Healthcare Energy & utilities Public sector Financial services Smart City Arena Mobility Arena Transport & logistics Energy & utilities Manufacturing Financial services Retail Digital technologies cut across traditional industry boundaries, enable the reconstitution of supply chain-based industries into ecosystem-based business arenas Quality of Life Arena Customer Experience Arena Financial servicesPharma Healthcare Public sector Academic Transport & logistics RetailFinancial services Manufacturing Energy & utilities • Retail • Financial Services • Manufacturing • Transport & logistics • Energy & utilities • Healthcare • Pharmaceutical • Public sector • Academic
  • 132. 132 © 2016 FujitsuCONFIDENTIAL Smart Cities Vision
  • 133. 133 © 2016 FujitsuCONFIDENTIAL IoT Components & Digital Transformation
  • 134. 134 © 2016 FujitsuCONFIDENTIAL Driver Safety Driver Drowsiness Detector Worker Safety Vital Sensing Unit Smart Field Services HMD / AR solution • 20% of accidents are sleep related • 500 deaths p/a are caused by sleep and 40% relate to commercial vehicles • 50% of fatal injuries to workers were falls from height, being struck by a vehicle or object • An estimated 2.1 million working days were lost due to injuries related to handling/slips & trips • 1 in 3 is the average first time fix rate of engineers in the field • A shortfall of 30K engineering in the next 10 years Horizontal Industry Issues…….
  • 135. 135 © 2016 FujitsuCONFIDENTIAL Driver Safety Driver Drowsiness Detector Worker Safety Vital Sensing Unit Remote Support HMD / AR solution • 20% of accidents are sleep related • 500 deaths p/a are caused by sleep and 40% relate to commercial vehicles. • 50% of fatal injuries to workers were falls from height, being struck by a vehicle or object • An estimated 2.1 million working days were lost due to injuries related to handling/slips & trips • 1 in 3 is the average first time fix rate of engineers in the field • A shortfall of 30K engineering in the next 10 years Solutions…Driver Safety Monitors the driver's biorhythms via detection sensors to gauge levels of driver drowsiness which can be used for driver self management and allows fleet managers to perform route optimization planning  Benefits • Capture driver status and sense early signs of drowsiness/loss of alertness • Operation managers can observe the driver status real time Sensor Fleet Company
  • 136. 136 © 2016 FujitsuCONFIDENTIAL Driver Safety Driver Drowsiness Detector Worker Safety Vital Sensing Unit Remote Support HMD / AR solution • 20% of accidents are sleep related • 500 deaths p/a are caused by sleep and 40% relate to commercial vehicles. • 50% of fatal injuries to workers were falls from height, being struck by a vehicle or object • An estimated 2.1 million working days were lost due to injuries related to handling/slips & trips • 1 in 3 is the average first time fix rate of engineers in the field • A shortfall of 30K engineering in the next 10 years Solutions…Worker Safety Sensor Company The Vital Sensing Band helps to provide safer working environments by remotely monitoring the health and safety of workers and issuing alerts when accidents occur.  Benefits • Detect falls by monitoring both acceleration & barometer pressure changes • Avoid the chances of getting heat stroke by estimating heat stress from pulse, active mass, temperature & humidity
  • 137. 137 © 2016 FujitsuCONFIDENTIAL Driver Safety Driver Drowsiness Detector Worker Safety Vital Sensing Unit Smart Field Services HMD / AR solution • 20% of accidents are sleep related • 500 deaths p/a are caused by sleep and 40% relate to commercial vehicles. • 5050% of fatal injuries to workers were falls from height, being struck by a vehicle or object • An estimated 2.1 million working days were lost due to injuries related to handling/slips & trips • 1 in 3 is the average first time fix rate of engineers in the field • A shortfall of 30K engineering in the next 10 years Solutions…Smart Field Services The HMD acts as a communication tool between operators and their supervisor delivering support and sharing remote imagery in real time. Using the Amplify client we can create/support and enable the workforce with the material and support they need  Benefits • Productivity and Ease of Use • Reliability and Robustness • „„Flexibly configurable remote communication tool
  • 138. 138 © 2016 FujitsuCONFIDENTIAL Who is doing it where today IoT Reference Cases
  • 139. 139 Copyright 2015 FUJITSU Real-Time Supply Chain Visibility Up to 80% inventory write- off reduction by end of 2018 30% reduction in 2016 Average seek time for critical components is down from 2 days to 1 hour
  • 140. 140 Copyright 2015 FUJITSU Smart Manufacturing for Work in Process Real time visibility into the velocity of the manufacturing process Full electronic accountability of raw material life cycle
  • 141. 141 Copyright 2015 FUJITSU Remote Monitoring & Predictive Maintenance IoT-enabled after-sales support allowed for expansion with minimal staffing Reduced time to fix and improved service quality
  • 142. 142 Copyright 2015 FUJITSU Proactive Maintenance with Augmented Reality Replaced paper and manual processes which were quickly outdated or required extensive training Operators can work more quickly and accurately with real-time onsite access to data and central support
  • 143. 143 Copyright 2015 FUJITSU Enterprise Wearables for Field Worker Safety “Vital Sensing Band” measures temperature, heat, humidity, heart rate, and 3D movement Improves worker safety with real-time monitoring of health vitals and surrounding environmentsNetwork Solutions
  • 144. 144 Copyright 2015 FUJITSU Warehouse Operations Optimization Finished goods handling from manufacture through cold storage & shipping: improved shipping accuracy Truck loading time reduced from 60 minutes to 20 minutes
  • 145. 145 Copyright 2015 FUJITSU Smart Logistics & Asset Tracking IoT-based solution replaced inefficient paper- based tracking solution for nuclear waste disposal $8M cost avoidance due to increased efficiency, automated tracking, and higher security
  • 146. 146 Copyright 2015 FUJITSU Smart Logistics & Warehousing Automates conveyor systems and sorts goods much more efficiently from over 60,000 suppliers Reduces shipment processing time by 30% and annual cost savings of $4m in one warehouse alone
  • 147. 147 Copyright 2015 FUJITSU Inventory Management for Public Safety IoT reduces complexity in inventory management of weapons, uniforms, trauma kits, vehicles Solution saves 15 minutes per officer per shift = one additional officer per day in the field.
  • 148. 148 Copyright 2015 FUJITSU Digitalized Hospital Bed Sheets Digitalized bed sheets with washable laundry tags improve lifecycle, inventory & sanitary management Reduces chances of infectious spread, lowers operational costs, reduces inventory
  • 149. 149 Copyright 2015 FUJITSU Technology Intelligent Care Home Monitoring In home environment understanding and learning of behavioural patterns allows a support worker/carer to identify abnormal situations and deliver intelligent care when needed  Analyze live sounds in the house to detect abnormalities  Estimate heat stress & monitor movement in/out of the house  Detect any abnormal life rhythms from accumulated data in the cloud Mobility Using a vital band we can monitor a users location/ condition and detect a fall issuing alerts and provide support when an accident occurs.  Detect falls by monitoring both acceleration & barometer pressure  Avoid the chances of getting heat stroke by estimating heat stress from pulse, active mass, temperature & humidity
  • 150. 150 Copyright 2015 FUJITSU Monitoring Solution Location Solution Innovation Solution Technology - Industrial Sensors……. Vital Sensing Unit Driver Drowsiness DetectorLocation Unit (L) Head Mounted Display Location Unit (S) LD-6L LD-7L LD-6Lf Remote Monitoring Station
  • 151. 151 Copyright 2015 FUJITSU Sensor data Technology - Optimised Algorithms……. Acceleration Gyro Geomagnetism Atmospheric pressure Sound Pulse wave Temperature Humidity GPS Posture of the body Falling and tumbling Risk of heatstroke Tiredness Location Geo-Fence Breathing Disorder Who’s fallen Where did it occur Is it a Restricted area Has the level of risk increased Do they need assistance Is that unusual behavior Are they alert Is that space available Will they collide Where is the item How do I find it Algorithms analyze sensor data and convert that raw data into meaningful data. Once you have meaningful data then this can be converted in valuable information to deliver benefits Sensor Algorithm Firmware Middleware Meaningful Data Valuable Information
  • 152. 152 Copyright 2015 FUJITSU  Our Smart TVs record your living room chatter Security – increasing challenges  Fiat Chrysler issued a safety recall affecting 1.4m vehicles  Russian Boris bicycles, Payment hacking  Top 10 Breaches each exposed between 10-80M accounts in 2015
  • 153. 153 Copyright 2015 FUJITSU  Leaping the Chasm from proving technology to real business value  Identifying stakeholder ecosystem  Future proofing  Commercial models and partnerships Leaping the Chasm POC
  • 154. 154 Copyright 2015 FUJITSU Summary IOT- ‘the infrastructure of the information society’ Less or no boundaries for Customers Fast Dynamic IT New markets New Commercial Models New Partnerships
  • 155. 155 © 2016 FujitsuCONFIDENTIAL
  • 159. Information Classification: Restricted 159 Internet of Stuff – Is that all there is?
  • 163. Information Classification: Restricted 163 Internet of Things – Under the Bonnet
  • 165. Information Classification: Restricted 165 Internet of Things – Machine to Machine
  • 166. Information Classification: Restricted 166 Internet of Things – Machine to Machine
  • 170. Information Classification: Restricted 170 IoT - New Business Models Physical Freemium Object Self Service Digital Add On Product as a Point of Sale
  • 172. Information Classification: Restricted 172 Measurable World Google = Online IoT = Everything else
  • 173. Information Classification: Restricted 173 Customer experience through personalization Hyper-Personal Service High Resolution Service
  • 176. Information Classification: Restricted 176 Privacy? The IoT guys are still balancing that.
  • 180. Information Classification: Restricted 180 What we’re seeing  Manufacturers move towards being Service Providers  Industry and Internet Cultures are coming together  Business value to eco-systems of manufacturers, developers and cloud providers is enormous.  Tailoring for these opportunities won’t happen in the boardroom. It needs iterative hardware + software development  The first IoT ideas focus on straight forward solutions  Growing sensitivity of product design to the value and dangers around user data
  • 181. Information Classification: Restricted 181 Any Questions? - Ask the Machine Scott Maxwell smaxwell@brightsolid.com Alexa alexa@amazon.co.uk
  • 182. Architectural considerations in an IoT world. Nigel Ashworth Solution Architect EMEA F5 Networks September 2016
  • 183. © F5 Networks, Inc 183 • IoT Market and where we are today • IoT End-to-End Challenges • Security • Scale • Visibility • Use case Agenda
  • 184. © F5 Networks, Inc 184 Internet of Things (IoT) Create values in a “connected society” with enhanced services that are seamless and consistent 1 million vineyard acres 380 million connected cars $10 billion smart home market 300 million smart meters 100 million street lights $117 billion smart healthcare market
  • 185. © F5 Networks, Inc 185 Global M2M/IoT Connections: 2015-2020 Evolution Global mobile M2M/IoT connections Source: Cisco Visual Networking Index 2015–2020 Global M2M today is 50% of internet traffic
  • 187. © F5 Networks, Inc 187 What is Different ? Machine 2 Machine Matrix conversations MQTT and CoAP Message and Subscriber Security with SSL Very High Numbers Long lived conversations Web IoT User 2 Machine Internet / Intranet HTTP and HTTP2 Network and Web Based Security Moderate Numbers Short lived conversations
  • 188. © F5 Networks, Inc 188 Are IoT Solutions Ready for these Challenges?
  • 190. © F5 Networks, Inc 190 IoT Outlook 2016 IoT Security Key Findings Source: Telecoms.com Intelligence IoT Outlook 2016 Key Finding 1 Nearly two thirds of respondents believe IoT will present new and unique information security challenges. Key Finding 2 An additional two thirds think IoT is more vulnerable to security leaks due to the volume of devices and traffic being generated. Key Finding 3 One in three respondents think they don’t experience any DDoS attacks at all. Key Finding 4 45% of all respondents feel that reputational impact and financial loss are the biggest threats facing their business form a IoT-targeted DDoS attack.
  • 191. © F5 Networks, Inc 191 Internet of Things Adoption – Importance of Security Enterprises: What are the key inhibitors to IoT adoption? Sources: Gartner and Infonetics Research
  • 192. © F5 Networks, Inc 192 New Threats and Security Perimeter Challenges Each layer in the Internet of Things is susceptible to a variety of attack vectors DEVICE ATTACKS NETWORK ATTACKS APPLICATION ATTACKS Source: IBM X-Force Research and Development The businesses responsibility to protect customers, partners and the companies data that could well be beyond the Datacenters
  • 193. What is the biggest cost to your business as a result of an IoT-related DDoS attack? Reputational damage Risk of virus/malware infection Loss of IoT connectivity Financial impact Personal data loss The cost of IoT insecurity • Our thoughts turned to the potential repercussions for managing IoT traffic. In this case, 32% deemed this the biggest risk associated with a network or data breach in IoT. With negative reputation consequences comes distrust from users, and therefore a potential rise in churn and downturn in financial fortune. Source: Telecoms.com Intelligence IoT Outlook 2016 Responses Reputational damage 32% Loss of IoT connectivity 24% Personal data loss 19% Risk of virus/malware infection 13% Financial impact 12%
  • 194. © F5 Networks, Inc 194 The OVH founder said that the attack had used IoT devices to mount the attack including hacked CCTV cameras and personal video recorders. “This botnet with 145607 cameras/dvr (1-30Mbps per IP) is able to send >1.5Tbps DDoS. Attack Type: tcp/ack, tcp/ack+psh, tcp/syn,” he tweeted.
  • 195. © F5 Networks, Inc 195 Threats to End-to-End IoT Application Security IoT Platform MQTT/TLS MQTT/TLS HTTPS Gatewa y Gatewa y MQTT/TLS HTTPS MQTT/TLS HTTPS Custome rs DDoS Attack HTTPS Eavesdroppe r Things Compromised Resource depletion Protocol abuse Poisoning data Next Generation DDOS – Krebs ! Battery depletion False Data input Cipher aging
  • 197. © F5 Networks, Inc 197 Advancing to End-to-End IoT Application IoT Platform MQTT/TLS MQTT/TLS HTTPS Gateway Gateway MQTT/TLS HTTPS MQTT/TLS HTTPS Customers HTTPS Things Brokers Servers Consumers
  • 198. © F5 Networks, Inc 198 Advancing to End-to-End IoT Application IoT Platform MQTT/TLS MQTT/TLS HTTPS Gateway Gateway MQTT/TLS HTTPS MQTT/TLS HTTPS Customers HTTPS Things Brokers Servers ConsumersIoT Platform
  • 199. © F5 Networks, Inc 199 IoT at Scale Connected Devices MQTT Broker MQTT MQTT • Customer scaling numbers in Millions and one in Billions • POC vs Architecture IOT Stage Advanced Intermediate Early Protocol HTTP - MQTT MQTT MQTT / CoAP Key Challenge Scalability / Message Management and Security Security Security
  • 200. © F5 Networks, Inc 200 Delivering Scale Connected Devices VIPRION Platform Or Virtual Edition SSL offload MQTT Broker MQTT Load Balancing TLS CERTIFICATE SUBJECT ID MQTT traffic Cert-based Authenticatio n MQTT SSL Offload with Full Proxy now allows for Visibility and decision making
  • 201. © F5 Networks, Inc 201 Delivering Scale and Beyond Connected Devices VIPRION Platform Or Virtual Edition SSL offload MQTT Broker MQTT Load Balancing TLS CERTIFICATE SUBJECT ID MQTT traffic Cert-based Authenticatio n MQTT • MQTT message steering • Programmability L7 • High Availability • Topic filtering / caching • Protocol security / validation SSL Offload with Full Proxy now allows for Visibility and decision making
  • 203. © F5 Networks, Inc 203 Visibility F5 Confidential 203 APM IoT Access Control Architecture (0) Authenticate & Authorize Access Policies (2) (2) Deploy Deploy (4) Request (5) Response A . 2 A. 1 IoT Environment in Field Gateway Device Thing B.1 APM Access Policies (3) Proxy (1) (1) Configure Configure Access Policies Access Policies Gateway A.1 Device A.2 Device B.1 Owner A Owner B • Thing / Identity and Context • History • Statistics • Analytics • Planning
  • 204. © F5 Networks, Inc 204 • Dashboard • Geolocation by state • Geolocation by country • Geolocation by region • Concurrent Sessions • Session Throughput • Access by Thing • Access Types • Top Things by identity • Top Things by throughput • Thing Type over Platform • Auth Success vs. Failed • Access by IP Reporting for Things
  • 206. © F5 Networks, Inc 206 • Unauthorised packets sent to car • Malware created • Exposes on-board controller (OBC) • Sends bad packets • 3/4/5G access Case Study – Connected Car Security Audio On-board controller Diagnostics Telematics Safety sensors Source (image): Broadcom
  • 207. © F5 Networks, Inc 207 Firewall / DNS Firewall Embedded client certificate 2K keys 3G/4G card embedded Customer tethering Inputs 2-3 millions concurrent connected cars with 5-7 individual SIM cards Smart phone DNS Firewall Internet Identity validation serverReporting MQTT Broker Connected Car Reference Architecture IOT APP DATA CENTER SSL authentication SSL offload Protocol analysis IPSec backhaul MQTT load balancing DNS load balancing DNS DDoS protection DNS ADC Application firewall SSL offload SAML IDP App Protection Protocol Transformation CGNAT
  • 208. © F5 Networks, Inc 208 Advancing to End-to-End IoT IoT Platform MQTT/TLS MQTT/TLS HTTPS Gatewa y Gatewa y MQTT/TLS HTTPS MQTT/TLS HTTPS Custome rs DDoS Attack HTTPS Eavesdroppe r • Security is a critical component in an end-to-end IoT architecture - Getting it wrong may have very severe consequences to the business. It is not an afterthought due to time to market concerns • Scalability - There is no small scale IOT deployments, Architect beyond the POC • Visibility - Identify and trend the things to Plan ahead.
  • 209. IoT