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The Internet of Things (IoT)

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Page 1: The Internet of Things (IoT) PDF

The Internet of Things (IoT)

Page 2: The Internet of Things (IoT) PDF
Page 3: The Internet of Things (IoT) PDF

Quad-play to Quint-play Roadmap

• With the proposed acquisition of Telefonica O2 by BT - and with 3-mobile,

EE, Virgin and Vodafone partnering with OTT Media Partners such as Sky,

Spotify and Netflix - Quad-play is beginning to become a real and tangible

presence in the CSP / UC marketplace. The next big thing after Quad-play

is going to be Quint-play - CSP's getting into the Energy Market and Energy

Suppliers getting into the Media / Entertainment / Communications sector -

Broadband, Fixed-line and Mobile with Video / Audio Streaming. This trend is

paving the way for future converged Broadband, Fixed-line, Mobile and Media

/ Entertainment packages combined with Home Energy (Power + Gas) – and

thus a platform to launch future Smart Grid and IoT Package Services.

• At the moment, Virgin Media is the only Broadband, Land-line, Mobile

and Media / Entertainment provider to offer broadband, home phone, TV

and mobile all on a single contract package – the other so-called “Quad-

play” Communications Service Providers (CSP’s) only supply a SIM-card

only Quad-play contract offering - without a mobile handset package .

Page 4: The Internet of Things (IoT) PDF

Quad-play to Quint-play Roadmap Service Provider

Broadband Fixed / Landline

Mobile Media / Entertainment

Energy Financial Services

BT BT Infinity

Broadband

BT Infinity

Line Rental

BT Mobile +

EE ?

BT TV + Netflix

Sky Sky Broadband Sky Fixed

Line Rental

Sky and Netflix –

Home + Mobile

EE Home / Mobile

Broadband

EE Fixed

Line Rental

EE Mobile Sky + Spotify +

Netflix - Mobile

Plusnet Home / Mobile

Broadband

Plusnet

Line Rental

3-Mobile 3-Mobile

Broadband

3-Mobile Sky + Spotify +

Netflix - Mobile

Telefonica O2 Home / Mobile

Broadband

O2 Fixed

Line Rental

O2 Mobile Sky + Spotify +

Netflix - Mobile

O2 Money

Talk Talk Home / Mobile

Broadband

Talk Talk

Line Rental

Talk Talk

Mobile

Talk Talk TV +

Netflix - Home

Tesco Home / Mobile

Broadband

Tesco Fixed

Line Rental

Tesco

Mobile

Tesco Bank

Virgin Home / Mobile

Broadband

Virgin Fixed

Line Rental

Virgin

Mobile

Virgin Media Virgin Money

Vodafone Home / Mobile

Broadband

Vodafone

Line Rental

Vodafone

Mobile

Sky and Netflix

Home + Mobile ?

RWE N-power ?

Page 5: The Internet of Things (IoT) PDF

Part 2

Part 4

Part 3

Part 1

Strategic Enterprise

Management Framework

Enterprise Target

Operating Model (eTOM)

Future Management

and Innovation Plans

Solution Architecture

Enterprise Architecture

Model and Roadmap

Enterprise

Architecture

Business Programme

Plan / Project Plans

Infrastructure

Architecture

Business Operating

Model (BOM)

Business

Architecture

Strategic Outcomes,

Goals & Objectives

Innovation Research

and Development

Business Programme

Management

IS / IT Strategy

Technology Strategy

Systems Planning

Enterprise Governance,

Reporting and Controls

Infrastructure Planning

Business Planning

Organisation

Structure

Telco 1.0 Strategic Foresight

Strategy

Development

Organisational

Change

Enterprise

Architecture

Framework

NGE – Next-

Generation

Enterprises

Collaborativ

e Business

Models

Service

Convergenc

e I

Business

Transformation

Technology

Change

NGA- Next-

Generation

Architecture

s

Enterprise

Application

Integration

Technology

Convergenc

e I

OSS BSS ESS

Smart

Devices

Mobile

Platform

Cloud

Services Telco 2.0

I

Business Change – Telco 1.0 to Telco 2.0 Digital Business Operating Model = Innovation I

Telco 2.0 Digital Business Transformation Telco 2.0 Business Transformation

Page 6: The Internet of Things (IoT) PDF

Telematics The Internet of Things (IoT) – Smart Devices, Smart Apps, Wearable Technology, Vehicle Telemetry, Smart Homes and Building Automation

SMACT/4D Digital Technology Stack

Page 7: The Internet of Things (IoT) PDF

The Internet of Things

Page 8: The Internet of Things (IoT) PDF

Internet of Things –

“Everything

Everywhere” Big

Data Cloud

People,

Places

and

Things

Geo-

spatial

Data

Geo-spatial

Gazetteer

Geo-spatial

Analytics

People, Places and Things

Gazetteer (GIS / GPS)

Social Intelligence

Campaign Management GIS / GPS Insights

Big Data Analytics

The Cone™

People, Places &

Things Profiling

The Cone™ GIS / GPS

Smart Apps

Geographic

Survey Data

Insights

Reports

TV Set-top Box

The Internet of Things

Factory Office &

Warehouse

Wearable &

Personal

Technology

Vehicle Hospital,

Surgery,

Clinic

Home

Public house

Mall,

Shop,

Store

Kiosks &

Cubicles

Mobile CCTV

Page 9: The Internet of Things (IoT) PDF

The Internet of Things (IoT)

• Our world, our cities, even our own lifestyle, is being inundated by the ubiquitous presence

of innumerable smart devices. As the Internet of Things (IoT) unfolds – the vast ocean of

pervasive automatic and machine-generated data flooding our lives will only get deeper,

wider and denser – especially within these key industry sectors, categories and domains: -

• This trend is not only being driven by “Everything Everywhere” - the intense tsunami wave

of automatic data that we are now experiencing - is created by the ever increasing host of

pervasive Smart Devices and the vast volumes of machine-generated data streamed from

internet-connected cameras, sensors, detectors and controllers - it also very much about

the abstraction of vastly increased data storage capabilities from hardware into software

and the emergence of the so-called "self-organising" Software Data Storage Platforms.

– Telematics – Vehicle and Network Telemetry

– Smart Homes and Intelligent Buildings

– Smart People – Wearable Technology

– Smart Grid and Distributed Energy

– Smart Hospitals and Patient Monitoring

– Future Cities and Intelligent Infrastructure

– Integrated Manufacturing and Supply Chain

– Security, Surveillance and Emergency Services

– Intelligence Services and Digital Battlefields

– Transport

– Consumer

– Personal

– Utilities

– Digital Healthcare

– Urban

– Industrial

– Emergency Response

– National Security

Page 10: The Internet of Things (IoT) PDF

The Internet of Things • The Internet of Things (IOT) is now being flooded with the ubiquitous presence of

pervasive smart devices – in particular, in the Wearable Technology, Smart Homes and

Buildings, Future Cities and Digital Battlefield categories. This trend is not only being

driven by “Everything Everywhere” - the intense tsunami wave of automatic data that

we are now seeing generated by the Internet of Things and the vast volumes of

machine-generated data derived from internet-connected devices - it also very much

about the abstraction of numerous storage capabilities from hardware into software

and the emergence of the so-called "self-organising" Software Data Storage Platforms.

As the future unfolds – the ocean of machine-generated data can only get deeper,

wider, and more dense.....

Page 11: The Internet of Things (IoT) PDF

The Internet of Things (IoT)

• Studies from Cisco, IBM, Microsoft, McKinsey, Gartner, Forrester and other

companies are now indicating a tremendous surge in growth of several consumer

categories and product areas in the Internet of Things – often referred to as the

Internet of Everything - Everywhere. The Internet of Things is now being flooded

with the ubiquitous presence of pervasive smart devices – in particular, Wearable

Technology, Future Homes, Smart Cities and Digital Battlefields categories. The

number of internet connected devices on our bodies, in our homes and around our

cities is only one example demonstrating how fast IOT / IEE technology is growing.

• The Internet of Things Business Canvas splits the IOT business model into two

distinct streams, the physical and the digital. Amazing new opportunities are now

being created through connecting and integrating physical devices into digital

communications – revealing fascinating social insights that we have never

appreciated before. Connecting the unconnected, the physical and the digital

streams are pivotal to the delivery of this new value proposition. Consumers are

embracing for example, Wearable Technology, Future Homes and Smart Cities in

almost every aspect of their daily life. Small start-ups funded by the crowd are

offering all kinds of services based on connected devices - on a massive scale.

Page 12: The Internet of Things (IoT) PDF

The Internet of Things (IoT) Checklist

LEVEL Strategic Conceptual Logical Physical Actual

Scoping Planning Design Specification Installation

LAYER

Network Contractual –

Network Types,

Capacity, SLAs

Routing - Nodes

/ Links

Network Devices

and Connections

Network Cables

and Equipment

Civil Engineering -

Cabinets / Ducting

and Power Supply

Terminators Device Types Device Location Device

Connectivity

Device

Specification

Device Installation

Messages Message Types Message / Data

Store Design

Message / Data

Flow Design

Message / Data

Format Design

Message / Data

Content

GIS Mapping + Spatial Analysis

Geospatial Object

Types + GPS

Imaging and GIS

Mapping Layers

Asset, Property

and Location

Gazetteers

Video Streaming,

Street Maps and

Building Models

Geospatial Event

Tracking and

Monitoring

4D Geospatial Analytics

Opportunity / Risk

and Problem /

Threat Domains

Big Data /

Analytics

Infrastructure

Predictive /

Propensity

Analytics Models

Data Science /

Clustering

Algorithms

Actionable Urban

Data Insights

Event Management

Event Types,

Response, SLAs

Business

Scenarios

Business Use

Cases

Business Event /

Alert / Alarm -

Response Design

Business Event /

Alert / Alarm -

Response Action

Service Management

Contractual –

Availability, SLAs

System

Scenarios

System Use Cases System Event /

Alert / Alarm -

Response Design

System Event /

Alert / Alarm -

Response Action

Page 13: The Internet of Things (IoT) PDF

Alex Osterwalder invented the Internet of Things Business Canvas in 2008

Page 14: The Internet of Things (IoT) PDF

The Internet of Things (IoT) Components

LOCATION Individual Home Office Street

Component Type

Network 4G / LTE Broadband,

Wireless Hub,

Femtocells

LAN / WAN,

Femtocells,

Wireless Hub

Optical Network

Cellular Network

Wireless Network

Communications,

Media + Entertainment

Smart Phone, Tablet,

Laptop

PlayStation, X-box

Smart TV, Desktop

Desktop / Laptop

PC + BYOD

Smart Signposting –

Urban Data Streaming

Internet Content -

Video Streaming and

Alerts, Alarms, Events

Smart Phone, Tablet,

Wearables, Body Cam,

Smart Apps / Games

Home Security CCTV

- Remote Monitoring

and Safety Systems

Remote Monitoring /

Video Conferencing

Vehicle / Street Cam

HDCCTV / ANPR /

Facial Recognition

Smart Energy –

Eco Management

Energy Management

and Eco Smart Apps –

Home Monitoring and

Control Systems

Smart Meter, Energy

Sensors, Monitors and

Controllers, Solar

Panels / PV Arrays

Smart Meter, Energy

Sensors, Monitors

and Controllers,

Local Generation

Smart Grid,

District Heat + Power

Generation Facilities

GIS / GPS Technology Smart Apps - GIS /

Google Maps / GPS

Smart Apps - GIS /

Google Maps / GPS

Building Information

Model (BIM), CAD

Property / Location

Gazetteers, GIS / GPS

Urban Data – Street /

Building + Industrial /

Business / Retail Parks

+ Stadium and Arena

“My Personal Space”

Smart App – what’s

happening around my

immediate Environment

“My Neighbourhood”

Smart App – what’s

happening in my own

Home / Street / Area

“My Workplace”

Smart App – what’s

happening at Work -

Building / District

Intelligent Parking App,

Smart Street Furniture

(Taxi Ranks / Trains /

Bus Interchange etc.)

Event Management -

Response Management

Command and Control

Crime Event Reporting

First Responders and

Specialist Personnel –

Personal Security,

Alerts and Alarms

Home Security CCTV

- Remote Monitoring

and Safety Systems

Identity and Access

Management plus

Office Security and

Safety Management

Emergency Services

Incident Management

HDCCTV / ANPR /

Facial Recognition

Page 15: The Internet of Things (IoT) PDF

Claropartners have developed a business model template for the Internet of Things

The Internet of Things (IoT)

Page 16: The Internet of Things (IoT) PDF

The Internet of Things (IoT) Scenarios

Scenario Number

Scenario Title

Scenario Description

1 HDCCTV

Camera and

GIS Maps

Live Map and HDCCTV real-time video streaming and Geospatial data capture by Camera /

Sensor Location / Building / Street / Area from across the Site and Hinterland into the Cloud

2 Mobile Smart

Devices

Scenarios

Live Map and HDCCTV real-time video streaming and Geospatial data broadcast by

Camera / Sensor Location and Building / Street / Area from across the Site and Hinterland

from the Cloud via 4G / LTE to Mobile Smart Devices – Smart Phones, Tablets and Laptops

3 Building

Information

Management

Site Services and Building Plans - Building Information Model (BIM) - maintains Architecture

and Site Services Data for use by Site Security, Maintenance Contractors and Emergency

Services

4 Site / Building

Security

Systems

Site and Building Security Systems - Identity and Access Management (IAM) - maintains

People and Traffic Movement Data for use by Site Security, Maintenance Contractors and

Emergency Services

5 Site / Building

Fire Systems

Site and Building Fire Systems – maintains Fire and Smoke Detector and Architecture / Site

Services Data for use by Site Security, Maintenance Contractors and Emergency Services

6 Health and

Safety / Site

Incidents

Site and Building Health and Safety Systems – maintain Health and Safety Incident Data for

use by Site Security, Maintenance Contractors and Emergency Services

7 Accident /

Emergency

Services

Response

Site and Building Accident / Emergency Systems – maintains Accident / Emergency Incident

Data for use by Site Security, First Responders and Emergency Services

Page 17: The Internet of Things (IoT) PDF
Page 18: The Internet of Things (IoT) PDF

The Internet of Things (IoT) Use Cases

Use Case Number

Use Case Title Use Case Description

1 Smart Parking Advisor – Bay

Sensors, Cameras + Map

Smart App with Live Map and HDCCTV streaming showing available car

parking slots by Bay / Building / Street / Area - across the Campus / Site

2 Crowd Dynamics Camera and

Map (Shop / Mall)

Live Map and HDCCTV streaming showing crowd density / movement by

Building / Street / Area across the Building / Site (Leisure / Entertainment)

3 Traffic Dynamics Camera and

Map

Live Map and HDCCTV streaming showing traffic density and movement

(average speed) by Street / Area across the Building / Site and Hinterland

4 Transport Dynamics Camera

and Map

Live Map and HDCCTV streaming showing TfL and Shuttle Bus Scheduled

Stops and Arrival / Departure Times across the Building / Site / Hinterland

5 Street / Zone / Area Camera

and Map

Live Map and HDCCTV streaming showing current local activity in your

roaming / home location - Street / Zone / Area – on the Building / Site

6 Street Works / Traffic

Disruption Camera / Map

Live Map and HDCCTV streaming showing Building / Street Works / Traffic

Disruption by Building / Street / Area across the Building / Site / Hinterland

7 Smart Street Lights profiles and

parameters

Feedback Loop for viewing and updating Smart Street Lighting modes,

profiles and parameters – time-switch and movement detection modes

8 Energy Eco Management Eco Smart App - Energy Usage is collected and displayed graphically for

Appliance / Group / Zone / Building hierarchies across the Campus

9 Site Service Management Site Service Information / Request / Provisioning / Delivery / Management

10 Site Fault Management Site Fault Information / Reporting / Allocation / Resolution / Management

Page 19: The Internet of Things (IoT) PDF

The Internet of Things (IoT)

Page 20: The Internet of Things (IoT) PDF

The Internet of Things (IoT) Services Service Event Network Terminator Message Use Case Action Analytics

Urban Data

Streaming

Street / Area

Urban Event

Smart City

Network

Street Furniture

Visual Signpost

Urban Event

and Location

Local Event is

Reported

Public are

Informed

Urban Event

Analytics

Identity and

Site Access

Management

Building

Security /

Intrusion

Events

Building

Security

Network

Identity Card

Swipe Device

and HDCCTV

Person ID

Building No.

Zone / Area -

Enter / Leave

Person Enters

or Leaves a

Zone / Area /

Building / Site

Intrusion

Alert / Site

Security

Service

Site People

Traffic and

Intrusion

Analytics

Energy / Eco

Management

Change in

Ambient Air

Quality, Heat

Light Levels

Smart Grid Environment

Detectors,

Monitors and

Controllers

Environment

Control Data

Temperature,

Humidity and

Light levels

are Controlled

Eco Control

over Heat

Humidity

and Light

Energy Eco

Management

Analytics

Fire / Smoke

Detection

Management

Building

Security -

Fire / Smoke

Events

Building

Security

Network

Fire / Smoke

Detector and

Home HDCCTV

Building No.

Zone / Area –

Fire / Smoke

Fire / Smoke

Detection in a

Zone / Area /

Building / Site

Fire Alarm /

Evacuate

Building

Site Fire

Risk and

Incident

Analytics

Incident First

Responder

Management

Site Health

and Safety -

Incidents

and Events

Public IP

Services -

Video and

Telephony

Mobile / Fixed

Line / HDCCTV

Incident Type

and Location

Site Incident

Identified /

Reported /

Responded

Alert First

Responders

Site Health

and Safety /

Site Event

Analytics

Emergency

Response

Management

Emergency

Incident

Services

Response

Public IP

Services -

Video and

Telephony

Mobile / Fixed

Line / HDCCTV

Emergency

Type and

Location

Emergency

Identified /

Reported /

Responded

Manage

Emergency

Services /

Response

Emergency

Response

Analytics

Page 21: The Internet of Things (IoT) PDF

The Internet of Things

Page 22: The Internet of Things (IoT) PDF

4D Geospatial Analytics

Page 23: The Internet of Things (IoT) PDF

4D Geospatial Analytics • 4D Geospatial Analytics is the

profiling and analysis of large

aggregated datasets in order to

determine a ‘natural’ structure of

groupings provides an important

technique for many statistical and

analytic applications.

• Demographic and Geospatial Cluster

Analysis - on the basis of profile

similarities or geographic distribution -

is a statistical method whereby no prior

assumptions are made concerning the

number of groups or group hierarchies

and internal structure. Geo-spatial and

geodemographic techniques are

frequently used in order to profile and

segment populations by ‘natural’

groupings - such as common

behavioural traits, Clinical Trial,

Morbidity or Actuarial outcomes - along

with many other shared characteristics

and common factors.....

Page 24: The Internet of Things (IoT) PDF

4D Geospatial Analytics – The Temporal Wave

• The Temporal Wave is a novel and innovative method for Visual Modelling and Exploration

of Geospatial “Big Data” - simultaneously within a Time (history) and Space (geographic)

context. The problems encountered in exploring and analysing vast volumes of spatial–

temporal information in today's data-rich landscape – are becoming increasingly difficult to

manage effectively. In order to overcome the problem of data volume and scale in a Time

(history) and Space (location) context requires not only traditional location–space and

attribute–space analysis common in GIS Mapping and Spatial Analysis - but now with the

additional dimension of time–space analysis. The Temporal Wave supports a new method

of Visual Exploration for Geospatial (location) data within a Temporal (timeline) context.

• This time-visualisation approach integrates Geospatial (location) data within a Temporal

(timeline) dataset - along with data visualisation techniques - thus improving accessibility,

exploration and analysis of the huge amounts of geo-spatial data used to support geo-

visual “Big Data” analytics. The temporal wave combines the strengths of both linear

timeline and cyclical wave-form analysis – and is able to represent data both within a Time

(history) and Space (geographic) context simultaneously – and even at different levels of

granularity. Linear and cyclic trends in space-time data may be represented in combination

with other graphic representations typical for location–space and attribute–space data-

types. The Temporal Wave can be used in roles as a time–space data reference system,

as a time–space continuum representation tool, and as time–space interaction tool.

Page 25: The Internet of Things (IoT) PDF

4D Geospatial Analytics – London Timeline

Page 26: The Internet of Things (IoT) PDF

4D Geospatial Analytics – London Timeline

• How did London evolve from its creation as a Roman city in 43AD into the crowded, chaotic cosmopolitan megacity we see today? The London Evolution Animation takes a holistic view of what has been constructed in the capital over different historical periods – what has been lost, what saved and what protected.

• Greater London covers 600 square miles. Up until the 17th century, however, the capital city was crammed largely into a single square mile which today is marked by the skyscrapers which are a feature of the financial district of the City.

• This visualisation, originally created for the Almost Lost exhibition by the Bartlett Centre for Advanced Spatial Analysis (CASA), explores the historic evolution of the city by plotting a timeline of the development of the road network - along with documented buildings and other features – through 4D geospatial analysis of a vast number of diverse geographic, archaeological and historic data sets.

• Unlike other historical cities such as Athens or Rome, with an obvious patchwork of districts from different periods, London's individual structures scheduled sites and listed buildings are in many cases constructed gradually by parts assembled during different periods. Researchers who have tried previously to locate and document archaeological structures and research historic references will know that these features, when plotted, appear scrambled up like pieces of different jigsaw puzzles – all scattered across the contemporary London cityscape.

Page 27: The Internet of Things (IoT) PDF

Event Clusters and Connectivity

A

B

C

D

E

G

H

F

The above is an illustration of Event relationships - how Events might be connected. Any detailed,

intimate understanding of the connection between Events may help us to answer questions such as: -

• If Event A occurs does it make Event B or H more or less likely to occur ?

• If Event B occurs what effect does it have on Events C,D,E, F and G ?

Answering questions such as these allows us to plan our Event Management approach and Risk

mitigation strategy – and to decide how better to focus our Incident / Event resources and effort…..

Page 28: The Internet of Things (IoT) PDF

Event Clusters and Connectivity

• Aggregated Event includes coincident, related, connected and interconnected Event: -

• Coincident - two or more Events appear simultaneously in the same domain –

but they arise from different triggers (unrelated causal events)

• Related - two more Events materialise in the same domain sharing common

Event features or characteristics (may share a possible hidden common trigger or

cause – and so are candidates for further analysis and investigation)

• Connected - two more Events materialise in the same domain due to the same

trigger (common cause)

• Interconnected - two more Events materialise together in a Event cluster, series

or “storm” - the previous (prior) Event event triggering the subsequent (next) event

in an Event Series…..

• A series of Aggregated Events may result in a significant cumulative impact - and are

therefore frequently identified incorrectly as Wild-card or Black Swan Events - rather

than just simply as event clusters or event “storms”.....

Page 29: The Internet of Things (IoT) PDF

Event Clusters and Connectivity

1

2

3

4

5

7

8

6

The above is an illustration of Event relationships - how Risk Events might be connected. A detailed and

intimate understanding of Event clusters and the connection between Events may help us to understand: -

• What is the relationship between Events 1 and 8, and what impact do they have on Events 2 - 7 ?

• Events 2 - 5 and Events 6 and 7 occur in clusters – what are the factors influencing these clusters ?

Answering questions such as these allows us to plan our Risk Event management approach and mitigation

strategy – and to decide how to better focus our resources and effort on Risk Events and fraud management.

Claimant 1

Risk Event

Claimant 2 Residence

Vehicle

Event

Cluster

Page 30: The Internet of Things (IoT) PDF

Aggregated Event Types

A Trigger A

Coincident Events

B Trigger B

Event

Event

C Trigger 1

Related Events

D Trigger 2

Event

Event

E

Trigger

Connected Events

Event

Event F

G Trigger

Inter-connected Events

Event Event

H

Page 31: The Internet of Things (IoT) PDF

Event Complexity Map

Page 32: The Internet of Things (IoT) PDF

Social Intelligence – Fan-base Understanding

CONES

• Multiple Cones can be created and cross-referenced using Social Intelligence and Brand

Interaction / Fan-base Profiling and Segmentation in order to deliver actionable insights for any

genre of Brand Loyalty and Fan-base Understanding as well as for other Geo-demographic

Analytics purposes - Digital Healthcare, Clinical Trials, Morbidity and Actuarial Outcomes: -

– Music (BBC and Sony Music)

– Broadcasting (Radio 1 / American Idol)

– Digital Media Content (Sony Films / Netflix)

– Sports Franchises (Manchester City / New York City)

– Fast Fashion Retailers (ASOS, Next, New Look, Primark)

– Luxury Brands / Aggregators (Burberry / LVMH, PPR, Richemont)

– Multi-channel Retail – Loyalty, Campaigns, Offers and Promotions

– Financial Services – Brand Protection and Reputation Management

– Travel, Leisure and Entertainment - Destination Events and Resorts

– MVNO / CSPs - OTT Business Partner Analytics (via Firebrand / Apigee)

– Telco, Media and Communications - Churn Management / Conquest / Up-sell / Cross-sell Campaigns

– Digital Healthcare – Private / Public Healthcare Service Provisioning: - Geo-demographic Clustering and

Propensity Modelling (Patient Monitoring, Wellbeing, Clinical Trials, Morbidity and Actuarial Outcomes)

Page 33: The Internet of Things (IoT) PDF
Page 34: The Internet of Things (IoT) PDF

Social Intelligence – Fan-base Understanding

Page 35: The Internet of Things (IoT) PDF

Unified Communications

Page 36: The Internet of Things (IoT) PDF

Unified Communications

Unified Communications Unified Communications is the integration of real-time communication services - such as IoT / IoE unified messaging, rich presence, security and identity access information, telephony, video streaming, conferencing, desktop sharing, data sharing, call monitoring and control, speech recognition - with real-time and non-real-time communication services - such as instant messaging

Page 37: The Internet of Things (IoT) PDF

Unified Communications

Unified Communications With so many ideas and definitions of Unified Communications (UC), it is often difficult to determine the value stream that UC delivers to businesses. However, managing the volume and priority of e-mails, voicemails, SMS texts, telephone calls and instant messages that the average person reads, composes, sends and receives during the working day - it becomes clear the abundance of information propels employees into a much faster, more challenging and dynamic environment.

Page 38: The Internet of Things (IoT) PDF

Unified Communications

Page 39: The Internet of Things (IoT) PDF

Unified Communications

Page 40: The Internet of Things (IoT) PDF

Unified Communications – Service Management

Page 41: The Internet of Things (IoT) PDF

Urban Data - Lifestyle Challenges

Page 42: The Internet of Things (IoT) PDF

Urban Data - Lifestyle Challenges

• Using selected input from Smart Homes and Buildings Association (SH&BA) - business workshops

and the Internet of Things (IoT) Technology Forum - the Urban Data Project Team has defined a number

of Lifestyle Challenge Areas using Urban Data for managing public City, Area, District and Zone Data –

as well as integrating private Campus, Parks, Stadium and Building Data – accessed from a Smart App.

• The Project Team was targeted to come up with realistic Urban Data Lifestyle Challenges that: -

– might be readily delivered during a short Urban Data IoT Smart App Agile Development “sprint”

– that would be achievable whilst combining an optimal balance of the following elements: -

1. Creativity: - “Blue Sky” unconstrained thinking vs. pre-defined scope-restricted studies

2. IoT Apps Principles, Policies, Standards, Frameworks, Templates and Design Patterns –

development rules and guidance: - flexible Lean / Agile methods vs. rigid “waterfall” methods

3. Type of Urban Data challenges by difficulty and complexity: - difficult, complex, moderate and

easily developed Urban Data challenges - all delivered from a fully-functional IoT Smart App

4. Scope and nature of the Urban Data challenges: - deep and broad vs. shallow and narrow

5. Data Sources: - public vs. private data sources - what data sources may be exploited ?

6. Data Availability: - public vs. private datasets - what datasets can be made available ?

7. Data Diversity: - variety and range of information and data available: - specific data vs. generic

information and granular atomic datasets vs. aggregated / summarised data hierarchies

8. Service Integration: – Data Aggregation and Service Integration - a wide range of Urban Data

Types, Lifestyle Support and Customer Services unified within a single Urban Data Smart App

Page 43: The Internet of Things (IoT) PDF
Page 44: The Internet of Things (IoT) PDF

Urban Data - Lifestyle Challenges

The list of challenges from the Smart Homes and Buildings Association (SH&BA) Urban Data Project: -

Urban Data Challenge Area 1: Everyday Urban Life – A Single View of your Home & Neighbourhood

• There are thousands of ‘event’s happening on our streets every day… data from pedestrians, traffic,

road works, skips, rubbish collection, other disruptions… can we display all of this using a Smart App ?

1. How can we enrich our customer’s urban lifestyles and visualise all of this data from a single view ?

2. How can we predict, manage and communicate all of these street events to residents / visitors ?

3. How can we inform citizens – visitors and residents - of what’s happening in a faster and better way ?

Urban Data Challenge Area 2: Impact on city living – Planning, Permissions and Works Disruption

The licensing and management of road-works, skips, scaffolding, utilities works & on-site building permits: -

1. How can we rank, order and prioritise buildings and streets in terms of the impact of work disruption ?

2. How can we help authorities to minimise the impact and re-schedule the planning of disruptive works so

that multiple works orders on the same space occur together - minimising impact on our citizens ?

3. Which 3rd party contractor or public maintenance services have caused the most disruptive impact on

private development and infrastructure maintenance services by district / area / street / building ?

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Urban Data - Lifestyle Challenges

Internet of Things (IoT)

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Urban Data - Lifestyle Challenges

Challenge Area 3: Street and Building Works Licensing - Management and Supervision

1. Can we rank Top 5 license application holders by district / area / street?

2. What impact has public and private works licensing on city areas and streets?

3. Can we predict most impacted visitors, residents, buildings and streets by work licensing?

4. Is higher / lower licensing density related to higher / lower density of crime, or antisocial behaviour ?

5. What is the relationship between noise complaints, antisocial behaviour, crime areas, and public /

private street / building works licensing – and how can we improve our visitor / resident lifestyle?

Challenge Area 4: Energy Eco Management - Smart Grid, Smart Meter Energy Data Feeds

Smart meter data feeds are raw, not pretty… …what insight can we get from smart meter feeds so that: -

1. Energy suppliers provide power, heat and light information ?

2. Energy consumers reduce power, heat and light consumption ?

3. Energy consumers reduce carbon generation and their carbon footprint ?

4. Energy consumers manage energy profiles for individual appliances and appliance groups ?

5. Energy consumers manage the ambient environment in zones, rooms, floors and buildings ?

6. Energy consumers can predict the use and maintenance demands of individual appliances / zones ?

7. Energy consumers manage energy usage based on weather forecast and other environmental data ?

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Urban Data - Lifestyle Challenges

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Urban Data - Lifestyle Challenges

Challenge Area 5: - Emergency Street Events – Emergency Incident and Crime Management

BUSINESS SCENARIO – Protect our residents and visitors from Emergency Incidents and Crime Events

1. Can we predict Emergency Incidents based on the ‘crime history’ of buildings and streets?

2. What is the relationship between cleaner, less noisy, more illuminated streets, ASBO and crime ?

3. Can street lighting, HDCCTV Cameras and noise levels etc. impact on local crime levels ?

4. Can we generate a map of Emergency Incidents, ASBO, noise and the ‘lifestyle quality’ of streets?

Challenge Area 6: - Environmental Maintenance - cleaner buildings, streets, public areas and spaces.

BUSINESS SCENARIO – Improve the Environmental lifestyle experience for all of our residents and visitors

• The streets of a City, Area, District and Zone, as well as private Campus, Parks, Stadium and Buildings,

all need to be protected from Human and animal fouling, rubbish and the illegal dumping of waste

1. Can we rank and order our dirtiest and cleanest buildings and streets ?

2. Can we have a single view of areas and clusters of cleaning and maintenance activities ?

3. Can we prioritise and scheduling street and building cleaning and maintenance services ?

4. Can we predict where we should focus our street and building cleaning and maintenance activities?

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Smart Grid

• The Smart Grid is a next-generation energy supply system that combines power supply and communication infrastructures. In a smart grid, we can expect to efficiently use the power that we generate, reduce transmission loss, and stabilize the power supply.

• This is accomplished by using communications technology to control the system and to balance the supply and demand of electricity. In addition, creating a smart demand and response link between consumers and power suppliers will help save energy

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Urban Data - Lifestyle Challenges

Challenge Area 7: - Visitor and Residential Parking Facilities and Site / Building Access Management

BUSINESS SCENARIO

• How can we use data from Parking Bay Monitors and HDCCTV Cameras to provide better Parking

Services and improve the overall Campus lifestyle experience for all of our residents and visitors ?

USE CASES

1. How can we manage parking space availability and parking demand - in real time ?

2. How can we predict parking space demand and availability around the campus and hinterland ?

3. How can we adapt parking tariffs depending on demand / supply models and availability of spaces ?

4. How can enforce legal parking through illegal parking penalties / parking tickets / resident license data ?

5. How can we visualize the best routes to get to available parking paces using Maps, Parking Bay

Monitors and HDCCTV video streaming - in an efficient and cost-effective way ?

6. How can we pre-book and allocate parking paces to priority residents and visitors using Maps, Parking

Bay Monitors and HDCCTV video streaming - in an efficient and cost-effective way ?

7. How can we create predictive Parking Demand / Supply models using Maps, Traffic Flow Data, Parking

Bay Monitor Data and HDCCTV video streaming - in an efficient and cost-effective way ?

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Future Homes

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Smart Homes

Smart Home Design possibilities and variations are endless. Here are some examples: -

smart home - example scenario 1 – “I’m Home”

• A scenario such as the 'I'm Home' scenario may be triggered by vehicle proximity

identification – or pressing one button on a key-ring remote-control or Smart Phone from

your vehicle as you approach the driveway. The building control system receives the key-

ring remote-control's command. This will then trigger a pre-programmed sequence of

function events - for example starting by turning on the lighting in the driveway, garage,

hallway and kitchen whilst opening the garage doors. It then disarms the security system,

opens the garage door, unlocks the interior garage entry door, adjusts the waste heat air

exchange system or air-conditioning to a preset temperature, and turns on the home

entertainment system playing your favourite Movie, Audio Playlist or Channel selection -

whilst making you a coffee and drawing you a bath.....

• The Smart Home control system is designed and programmed to meet specific user

needs - based on internal / external climate conditions - in response to 'one button'

command initiating automatic sequential operation of a wide range of integrated home

environment systems.

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Smart Homes

Smart Home Design possibilities and variations are endless. Here are some examples: -

smart homes - example scenario 2 – “Wake up”

• At 7:30am and you awake to the sound of your favourite playlist or channel playing in the

background; the lights and sound in your bedroom gradually 'fading up' to allow you to

awake in your own time. A bath is drawn for you and the towel heater in the bathroom

warms up the towels and robes. Downstairs the intruder alarm system is de-activated

and ground floor curtains and blinds partially open; in the kitchen the coffee machine turns

on to make a latte. - and you haven't even got out of bed yet !

• This simple example demonstrates how smart home technology will improve the quality of

people's lives – especially disadvantaged groups such as the elderly, disabled and

handicapped. Designing integrated systems that work together to automate simple

everyday tasks, improve your quality of life and reduce stress levels.

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Future Homes

© Hatfield Consortium 2012

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Building the Smart Homes of the Future

• The Smart Home of the future, as featured in science fiction movies and cartoons like Futurama and the Jetsons - is almost upon us.

• While we are not quite at the state of transporters and instant food makers a la mode of Star Trek, our homes are getting smarter and more sophisticated.

• Real-time monitoring of every aspect of your house is here already, from plumbing to electrics, while companies like Google are trying to get the internet into your TV.

• It takes a lot of computer power to make this happen - and a much more sophisticated approach to smart home construction, presenting new opportunities for a whole raft of suppliers and fitters out there.

In the UK, for example, low-energy "green" buildings are, as yet, extremely uncommon - according to John Alker, head of policy at the UK Green Building Council - an industry body formed by the largest homebuilders in the country.

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Equipping the Smart Homes of the Future

• AlertMe Energy is a power flow measurement device that clips to your meter and measures the amount of power pumping through your wires. The default kit contains three things - a meter reader, a meter transmitter, and a hub.

• The guidance provided with the kit explains that you can clip it around the grid supply cable entering out of the bottom of your electricity meter, but we found it took a few tries to obtain a signal which was delivered to the monitor.

• Happily, though, a simple clamp around a cable is all that it takes to get the device hooked up to your electricity system. There's no unscrewing, cable-chopping or other scary things to do - unlike some other energy monitoring kits. Once the meter reader is in place, you hook it up to the transmitter with a 3.5mm jack, pull out a tab to connect the batteries - and you're nearly set.

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Domestic Appliance Waveform Analytics in the Smart Homes of the Future

• In the future, Intelligent Energy Metering will be all that is required to manage all domestic utility services. A sophisticated metering solution developed by Navetas, with its product development collaborator Cambridge Design Partnership, accurately identifies and measures the individual electricity consumption of each and every home domestic appliance using Waveform Analytics to capture data and provide consumers with unprecedented levels of information and control over home energy usage.....

• Every Domestic Appliance has its own Waveform Analytics Profile when switched on, is left running, and switched off again. This means they can generate itemised energy consumption records - just like the call details records on your mobile phone bill !

Navetas and Cambridge Design Partnership develop novel home energy hub

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Domestic Appliance Waveform Analytics in the Smart Homes of the Future

• Powered by ISE, the Navetas technology solution consists of advanced software algorithms running on a low power, low cost electronic hardware platform which can be integrated into a range of products. In contrast with other disaggregation solutions, ISE’s patent pending algorithms take measurements at a single point on the electricity supply. Utilising advanced signal processing and artificial intelligence techniques (wave form analysis) the system can then calculate the energy consumption of each individual device on the mains supply.

• Crucially for a mass market device, the ISE technology does not require the installer/home-owner to teach the device about the house. Following installation, the system will automatically learn about the appliances in the house and calculate each device's energy consumption using its unique wave-form profile - without the need for any further user intervention.

Navetas and Cambridge Design Partnership develop novel home energy hub

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Using Smart Fridge-freezers in the Future

• Up to one-third of all food in the Supply Chain is thrown away - because we are simply unaware of the detailed inventory in our fridge. Smart Refrigerators can manage all of these problems - and more.....

– You bought extra ingredients for a recipe, and now you have left-over food or ingredients you don't know what to do with.

– You can't remember exactly when you bought something – so you buy it again – twice. When exactly did you put that Chinese takeaway in there? How old is that leftover roast ?

– You can't remember if you are out of, or simply running low on, basic essentials such as beer, bread and milk. Perhaps you do remember - but your children were inconsiderate and used up all your milk when their friends came back home for biscuits and milk shakes after school......

• Your Smart Refrigerator uses both bar-code reading and image processing technology with an LCD panel for display / interaction to help make you aware of the products currently stored within.

• Your Smart Refrigerator interface contains many novel features that help you to better manage your Kitchen Inventory. You can see everything in your refrigerator at a glance – via your Internet, Kitchen Inventory from your PC, Laptop, Tablet or Smart Phone.

• Your Smart Refrigerator automatically replenishes itself over the Internet from your favourite 0n-line store – delivered to your door !

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Using the Smart Devices of the Future

• Your domestic appliances are now powered wirelessly - so you can take your kettle anywhere in the home. The induction surface senses that a kettle has been set down upon it - and prepares to power it up.

• The induction surface is using magnetic fields to heat directly into the metal coil inside the product, and only the coil - meaning that you will not burn your hand if you put it next to your thawing meal or boiling kettle.

• That may seem far-fetched, but the US firm Fulton Innovations - makes this cordless induction-heating technology – say that we could be only three years away from this being a reality - if manufacturers want it to happen and adopt the technology.

According to Fulton’s Dave Barman - “Induction is more efficient and convenient than conventional gas and electricity, When installed properly, there shouldn't be any cost difference between traditional heating methods and an induction zone."

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Future Homes

© Hatfield Consortium 2012

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OTTBOX Lifestyle

• The OTTBOX Lifestyle is a revolution in how we use Audio-visual Wireless Devices in the home by

simplifying how people relate to technology, devices and the services that the Internet provides: -

– Customisable home screen display and audio modes

– Smart Home Automation and Energy Management control

– Listen to music and play video from Internet service providers

– Wireless webcams for home security and baby monitoring

• The OTTBOX enables your TV to be the central display with OTTBOX controlling various home life

style devices – as well as supporting your access to the internet. This brings internet services to a wider

range of devices and audiences through an innovative and simple user interface packed with options

such as video / audio calling with Skype, online photo albums, listen to music, play video......

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The Cone™ Application

The Cone™

Lifestyle Understanding

The Cone™ – Brand Loyalty and Affinity

The Cloud – SalesForce.com

Amazon Web Services (AWS}

Social

Intelligence

Data Science /

Big Data Analytics

Customer Experience

& Journey - CRM / CEM

Alarms / Alerts

Reporting

e-Business Smart Apps

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Social Intelligence

Cloud CRM

Data

Profile

Data CRM / CEM

Big Data

Analytics

Customer Management (CRM / CEM)

Social Intelligence

Campaign Management e-Business

Big Data Analytics

The Cone™

Customer Loyalty

& Brand Affinity

The Cone™ Smart Apps

Audience Survey Data

Insights

Reports

TV Set-top Box

Audience Metrics and Demographics

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NaimNet NS01 Music Server by Naim

• NS01 NaimNet / DigiLinX enabled 6-Stream Music Server with single high quality local audio output.

• The NS01 provides bit-perfect transfer from CD to secure hard disk storage with automatic backup. Music is easily selected using the Naim Extended Music Database and Complex Search facility. Network Scanning is available with local playback or NaimNet streaming of content from any Broadband network-connected computer.

• The Naim NS01 Music Server has full NaimNet / StreamNet capability with a single audio output on the rear panel for local playback.

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Abiliti: Digital Technology

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ABILITI: Future Systems – Strategic Partners

• ABILITI is part of a consortium of Future Management and Future Systems Consulting firms for Intelligent Buildings and Smart Homes Strategy – Cloud Computing / Smart Devices / Smart Grid / Next Generation Network (NGN) Telco 2.0 Architecture / Renewable & Alternative Energy

• Colin Mallett Former Chief Scientist @ BT Laboratories, Martlesham Heath

– Board Member@ SHABA and Visiting Fellow @ University of Hertfordshire

– Email: (Office)

– Telephone: (Mobile)

• Graham Harris Founder and MD @ Abiliti: Future Systems

– Email: (Office)

– Telephone: (Mobile)

• Nigel Tebbutt 奈杰尔 泰巴德

– Future Business Models & Emerging Technologies @ INGENERA

– Telephone: +44 (0) 7832 182595 (Mobile)

– +44 (0) 121 445 5689 (Office)

– Email: [email protected] (Private)

ABILITI: Future Systems - Strategic Enterprise Management (SEM) Framework ©

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