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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

Frank Zeichner & Geof Heydon - Preparing for the complexities & opportunities of IoT data management - FutureData 2017

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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………..