Andrew J Haire UNDERSTANDING SMART INFRASTRUCTURE (M2M & INTERNET OF THINGS)

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1 Andrew J Haire UNDERSTANDING SMART INFRASTRUCTURE (M2M & INTERNET OF THINGS)

2 Agenda Let us define the Terms of the Trade What do we know so far How did we get here What is the Technology Where are Opportunities What are Implications to Existing models What are Implications to Policy Makers AJH /ITU NBTC Training, 29 Sep 2 Oct

3 Some Preliminaries Everything now is Smart Our planning focus should be toward: The Empowered Citizen (or consumer) M2M is Fastest growing part of ICT industry Benefits bring risks (both public policy and business) of which we cannot lose sight Growing Importance of ICT in and for society Thinking outside the Phone! AJH /ITU NBTC Training, 29 Sep 2 Oct

4 Let s Define M2M Devices and sensors They watch and inform They collect and send Point to point Cloud Houses Information AND offers processing capabilities Not sensors IoT or IoE Usually the thing is asked Interaction Things to Person Things to Things Big Data More, Messy, Correlations Analytics Uses Cloud AJH /ITU NBTC Training, 29 Sep 2 Oct

5 Let s (further) Define Source: Arc C AJH /ITU NBTC Training, 29 Sep 2 Oct

6 Where is the industry going? Growth Technology Rapidly Shifting Business models AJH /ITU NBTC Training, 29 Sep 2 Oct

7 Where is the industry going? Growth Technology Rapidly Shifting Business models What is the eco system 1. Things 2. Infrastructure 3. Computing & Storage 4. Apps 5. Analytics AJH /ITU NBTC Training, 29 Sep 2 Oct

8 Where is the industry going? Growth Technology Rapidly Shifting Business models But the most versatile sensor of all: People AJH /ITU NBTC Training, 29 Sep 2 Oct

9 Where is the industry going? Growth Technology Rapidly Shifting Business models 1. Embedded Sensors 2. Social Impact 3. Business Opportunities Source: MetroEthernetForum; AJH /ITU NBTC Training, 29 Sep 2 Oct

10 Where is the industry going? Growth Technology Rapidly Shifting Business models Smart Governance Healthcare Building Mobility Infrastructure Technology Citizen Energy e: Univ of Vt, USA

11 Implication: Business Models Apps Garbage collection based on container sensors Green Parks that advise when to water Lighting that adjusts with the presence of citizens Sensors to measure air quality, vibrations, noise Traffic control; public safety Transportation and Parking Payment systems; space identification; traffic flow tracking Augmented reality to determine location; City guides Bike sharing Buildings and residential dwellings Automated climate control based on living habits Open Data Initiatives

12 Implication: Regulator Access to public information Individual privacy and security Spectrum Policy Scarcity of identifying numbers

13 Implication: Regulator Access to public information Data Openness to achieve transparency Public Trust Societal Benefits Value belongs (usually) to others Individual privacy and security Spectrum Policy Scarcity of identifying numbers

14 Implication: Regulator Access to public information Individual privacy and security Spectrum Policy We need to be clear that these two issues are different Growing Ability to Track Individuals Rights to be Forgotten Responsibility to Protect from unwanted intrusion Traditional tenants of Data Protection: Individual Notice; Opt out; Anonomization Don t work! Scarcity of identifying numbers

15 Implication: Regulator Access to public information Individual privacy and security Spectrum Policy Growing need to use scarce radio spectrum M2M devices fix on a specific platform Varying types of transmission, from Brief bursts continual streaming Highly infrequent continuous Lends itself to spectral inefficiency Scarcity of identifying numbers

16 Implication: Regulator Access to public information Individual privacy and security Spectrum Policy Scarcity of identifying numbers Courtesy: ZDNet Some platforms use telephone numbers Some use IP addresses Some use unique identifiers Who manages & should they be regulated, if scarce?

17 Implication: Risks Why are M2M projects put off See this as an Immature Market Can t determine the need Data Security/Privacy Implementation Costs Complexity

18 Wrap What do we know so far How did we get here What is the Technology Where are Opportunities Existing models Policy Considerations Move to uses of information with discussions Cloud and Big Data

19 drew J Haire w.andyhaire.com

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