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Frank Zeichner: CEO IoT Alliance Australia, Director Knowledge Economy Institute, UTS
Geof Heydon: Principal Consultant IoT Alliance Australia
Preparing for the complexities & opportunities of IoT data management
Case Study: Smart Cities
The IoT opportunity for industry, cit ies & regions
6.4 billion internet-connected
devices in 201646 billion
connected devices, sensors & actuators
by 2021.
(Juniper Research 2016)
Potential global economic impact of IoT
applications of $11.1 trillion
(USD) per year in 2025.
(McKinsey &Company 2015)
$116 billion of potential upsideto the Australian economy by 2025
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Digital Economy‐ Competitiveness‐ Productivity
Future Work‐ Education‐ Reskilling
Key Enablers/Barriers‐ Data sharing‐ Security‐ Spectrum Availability‐ Interoperability
Collaboration and Doing‐ Startups‐ Industry transformation
and Growth Centres
All Sectors of the Economy – Industry, Government, Research, Community
Industie 4.0
Cross domain & interoperability in
IoT
Industrial Internet Consortium
Energy
Water
Food and
Agribusiness
Manufacturing
Cities
Transport
Health
Source: adapted from Robert Bosch
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Collaborative Australian IoT Industry
Sectoral Focus where we have a natural advantage
Data Sharing & Privacy to accelerate data flow and protect people
Spectrum Availability for lower cost connectivity
Security & Network Resilience- trust that underpins growth
IoT Start-up innovation
Platforms & Interoperability to enable innovation & avoid lock-in
Industry Deep DivesRainmaker ProgramASX 200 Awareness
Over 350 OrganisationsOver 600 Participants
IoT Adoption Index
Cities
IoTAA addresses the complexity of IoT adoption
“The city must be created not only for citizens but also with them.”
Smart Cities for smart citizens co-production & co-creationdata sharing & interoperabilitycitizen sensing service co-design inclusive
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Bristol is an Open Programmable City…..............• 1,500 IoT
connected street lamp posts.
• Data generated is anonymized & made public through an open data portal & visualized using the Data Dome
• Applications are not just focused on environment & operations (traffic, energy, water, waste) but for FUN! (interactive gaming, immersive visualization, augmented reality)
A joint venture between the University of Bristol & Bristol City Council, funded by local, national & European governments, academic research funding & the private sector.
Commercial in Confidence – Meshed Pty Ltd May 2015
Hypercat.io
“Hypercat Australia will allow a platform to facilitate cutting edge technology solutions to be applied to urban problems. This will be the focus of our recently announced Smart Cities and Suburbs Program.” Hon Angus Taylor MP, Assistant Minister for Cities and Digital Transformation
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The 4 phases of IoT deployment
Phase 1IoT uses to improve productivity within an existing business model
Phase 1IoT uses to improve productivity within an existing business model
Phase 2Data from Phase 1
projects combining to learn something new
Phase 2Data from Phase 1
projects combining to learn something new
Phase 3Recognising that a
common platform to collect data from several silos enables new business
Phase 3Recognising that a
common platform to collect data from several silos enables new business
Phase 4Leveraging data from across the business to
analyse and guide future business
Phase 4Leveraging data from across the business to
analyse and guide future business
Most cities and businesses are at Phase 1 today. Each silo gathers and manages their own data in isolation.
As this phase emerges the need for a data sharing policy and process is needed. Start to understand common data frameworks and considering platform implications
The emphasis shifts to Open data and analytics for whole-of-business implications.
The business is proactively driving productivity and business strategy informed by data
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Important Resources for Data and Security
Internet of Things Security Guideline V1.0http://www.iot.org.au/wp/wp‐content/uploads/2016/12/IoTAA‐Security‐Guideline‐V1.0.pdf
NSW Government Data Task ForceLaunched 28th September 2017 ‐ URL available soon from the DAC
Internet of Things Good Practice Guideline for IoT Services V1.0Coming soon
INTERNET OF THINGSSECURITY GUIDELINE
INTERNET OF THINGSGOOD PRACTICE GUIDE FORBUSINESS TO CONSUMER IOT SERVICES
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Safe Data – primarily the potential for identification in the data. It could also refer to the sensitivity of the data itself.
Practical Data Sharing – the “Five Safes”
Safe Setting – the practical controls on the way the data is accessed. At one extreme researchers may be restricted to using the data in a supervised physical location. At the other extreme, there are no restrictions on data downloaded from the internet.
Safe Projects – the legal, moral and ethical considerations surrounding use of data. Often specified in regulations or legislation, typically allowing but limiting data use to some form of ‘valid statistical purpose’, and with appropriate ‘public benefit’.
Safe People – the knowledge, skills and incentives of the users to store and use the data appropriately. In this context, ‘appropriately’ means ‘in accordance with the required standards of behaviour’, rather than level of statistical skill.
Safe Outputs – the residual risk in publications from sensitive data.
We are considering adding two more……..Safe Recoverability – how bad can it get if the data is lost?
Safe Timing – How long can you remain in control of the data?
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Lower PIF Higher PIF
Non personal data Personal dataeg: Health
Lightly aggregated data
Highly aggregated data
Personal data
Freely available data
Data that can’t be shared without anonymization
Data available for commercial fee
Data available for a nominal fee
Data available to qualified users
Most A
ccessib
leLeast A
ccessib
le Regulators view of market analysis Fraud statistics Competition
analysisSocial media update
to “friends”
Trading on real time market data feed
Market segment analysis
“nearmap” Ariel imaging Twitter alerts
ASX company announcements
Broad market analysis
Live traffic congestion
Travel recommendations
Public transport applications
ABS Socio‐Economic Indexes for Areas
index
Google street map Telephone directory
Personal Identification Factor
The new regulation, technically known as EU 2016/679, replaces the Data Protection Directive, which goes back to 1995.
General Data Protection Regulation
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Find out more: www.iot.org.au
Email us: [email protected]
Twitter: @IoTAA1@FrankZeichner
Join us………..