tsb_iot_presentations_27june2012

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TSB IoT Convergence Showcase27th June 2012

CCR

(Consumer Convergent Retail)

10 April 2023 2CCR

CCR – Consumer Convergent Retail3

Explored the convergent scenarios within retail environments combing online and offline experiences and data

Jonathan Freeman

partner organisation logos on here?

Jonathan Freeman

do you mean combing, or combining?

CCR Explored these questions

• What are the appropriate convergent user scenarios that will increase multi channel behavior?

• How will the creation of new data from people & objects impact on these scenarios?

• How can this data be shared to enable the creation of 3rd party converged services?

• What is the role of Emotional Intelligence within these scenarios and how can exploiting this data affect the retail environment?

Responsive Retail - Principles

• Consumers are Internet things/ objects. Consumers carry rich metadata profiles ‘Personal Data Passport’

• Emotional intelligence (EI). Exploring environments that respond appropriately to people’s explicit and implicit interactions; mirroring and supporting natural behaviour

• Data Relationships. Products have complex data relationships with each other (food makes a recipe, clothes an outfit or loud speakers match amplifiers etc).

• External Influencers. Personal and global social world can provide real time recommendations, predictions and trends.

Jonathan Freeman

The text in the markup box was also in here, was that intentional?

Simon Sprince

The text in the markup box was also in here, was that intentional?

Responsive Retail – Consumer benefits

• Convenience and Saving Consumers time. Product Identification, fit, match current shopping preferences, verified though social recommendation.

• Enhancing appeal of particular products through personalisation and incentives.

• Increasing confidence in products. Enabling virtual try, providing real time social connections and personally relevant considerations

• Providing an appealing/ rewarding experience. Identifying consumer (VIP), Entice and Tease (emotional environments), Play & reward.

Responsive Retail - Challenges

• Misunderstanding and/or lack of expertise across retailers on consumer digital behaviour and a lack of consumer feedback.

• Disparate nature of consumer data and a growing disillusionment from consumers in regards to how their data is used.

• Lack of standards for identification of people and the sharing of personal data. ‘Personal Data Passport’

• Disconnect between product data and external trends.

• Lack of a Digital integrated Omni-channel platform, disconnect between existing in store technologies between themselves, the environment and mobile devices.

Responsive Retail - Strategies

• Brokerage. Building trusted relationships with industry in order to relieve the burden of innovation and to relay needs and insights.

• Don’t reinvent. Work with organisations in this space who can provide, technology, data harmonisation, analytics and human behaviour insights.

• IOT Developer Toolkit. Harmonised Data, Omni-Chanel platform, payment mechanisms. Personal Data Passport.

• Real world user testing. Products and services created are tested in store in order to rapidly identify successful models

• Investment Eco-system. Successful products are funded through various mechanisms in order to meet opportunity window.

City of Things

10 April 2023 11City of Things

http://cityofthings.com

Overview

• Urban built environment• Centred around Manchester• How to enable and apply IoT

Barriers

• Investment and risk• Governing use of personal or commercial data

Opportunities

• New business models from lower transaction costs

• Improved management of city environment• Micro-provision of services• New applications thanks to shared platform• New applications exploiting new data

Challenges

• Privacy and control of data use• Funding a shared pervasive wireless network• Practical issues around data collection• Data management and distribution

Strategies

• ‘Standard labels’ for data governance• Choose standards for devices and comms• Use Linked Data and APIs for data distribution

Demonstrator

• Should be in a specific place• Should support and (part) fund a portfolio of

projects and applications• Should provide shared infrastructure: wireless

network and data handling infrastructure• Should test solutions to data governance

issues

Cross Domain IoT

Interchange Broker

10 April 2023 19Cross Domain IoT Interchange Broker

© 2012 Cambridge Wireless

Our project partners

BathCube

Telecoms & Innovation Consultancy

Our assets

Data owners/users representing;

• Health & Telemedicine -Docobo Ltd.

• Building Control / Metering -Horstmann / Secure Controls UK

• Environmental Sensing -SciSys

Academic and policy input;

• Personal Information Broker- Development Ltd

• University of Bath – Department of Computer Science

• Technical

• User behaviour

Industrial Infrastructure/computing;

• Horstmann / Secure Controls UK

• SciSys

• University of Bath – Department of Computer Science

Project Management;

• BathCube Ltd

GP

Town Hall

Grocer

Chemist

Hospital

Severe Weather

Scenario Overview


Barriers• Separate ‘silo’ data chains

● Technical● Corporate behaviour

• End to end connectivity

• Data confidentiality / Legal

• Addressing formats

• Lack of incentive (financial or otherwise) to share data

• Regulatory

• User behaviour

• IoT services we foresee between health/energy/LA entities do have major potential given that;● Heavy snow in Dec 2010

cost NHS extra £42m.● 15 to 24% rise in Chronic

Obstructive Pulmonary Disorder admissions with low temperatures.

● 27,000 excess winter deaths● Coldest housing quarter

3* higher rate than warmest quarter.

● Increasing energy supply variability requires IoT enabled smart grids.

27/06/2012

Economic Potential

Q1: Barriers to convergent scenario, potential identified etc


Barriers : Inertia, Lack of abstraction, Human Factors, Trust, Reward, Security, Lack of suitable brokers.

27/06/2012

Q2: Applications and services, enablers, use cases etc

• Systems that could become enablers of useful new services are present but in silos (Utility Metering, Alarms and Communications, Heating and Energy Control). During a severe weather incident they can improve:-

Preparation

•Identify at risk individuals

•Adapt processes to IoT data

availability

•Set up visibility & control of

data

•Distribute care equipment to

vulnerable

•Identify and insulate poor

thermal performance houses

Warning

•Cascade early warnings to

professionals

•Care chain predicts likely needs

and fulfils

•Tailored advice

•Food, Oxygen, Prescriptions

Incident

•Monitors at risk individuals

remotely

•Schedules resources based on

actual needs arising

•e.g. Remote intervention to

ensure heating is set to best

level for health

•e.g. Proactive welfare telephone

call if normal routine deviated

from

Recovery

•Use of improved situational

awareness to direct resources to

most affected locations

•Communicates to individuals of

changes to routine until normality

is restored

•Crowd sourced data improves

awareness


Little incentive to spend £x to save £nX in today’s delivery chains

27/06/2012

Q3: Organisational challenges to allow shared IoT based services.

• Multiple issues including;● Data Ownership- who owns data collected about you?, Medical data challenges● Legislation- Data Protection Act, Privacy, Liabilities for service failure.● Technical-No available brokers, universal interoperable WAN/HANs, formats.● Commercial- Independent provision, no shared priorities, how to identify value.● Personal Freedom- Are you a person or managed object, Big Brother watching. ● Education- How to make people aware of shared data and sharing techniques.● Data Confidence- If you don’t trust it you won’t buy it.

• Of which identifying and returning the additional value from services is key;● Local Authority- what is the incentive to be better prepared if today’s state is

adequate?● Health Authority- Sees a statistical fall in cases compared to expectation but

running costs are unchanged- treat the next in the queue.● Keeping power on for a few vulnerable individuals costs more than penalties on

utilities for not keeping it on.

© 2012 Cambridge Wireless 27/06/2012

Q4: Strategies to move to converged scenario.

• Provision of a Broker Eco-structure;● Individual selects an ‘information

broker’ (IB) from a managed market.

● IB provides SSO, transaction based permissions for transmission of personal data between counterparties. e.g. Individual ‘A’ uses smart-phone ‘B’ to access his account ‘C’ to route IoT data from fitness monitor ‘D’ to Health Insurer ‘E’.

• Introduction to first application and sector by sector expansion;● For the enhanced cares scenario Govt. intervention may be required to

incentivise smart metering and buildings to have functionality needed in later life to reduce care costs arising from ageing demographic.

● Other sectors such as Higher Education or Energy Management may be better initial sectors.


• The demonstrator requires;● Technology investment in 2 or more

interoperable broker systems;

● minimum functionality to support new broker enabled services spanning 2 or more business sectors.

● Community and Engagement- A business development environment to bring data set owners, innovators, developers together to build initial viable services.

● A well defined technical architecture before tenders for development are invited.

● Use of ‘Open Innovation’ practices within CDEC to successfully engage both large and small organisations .

27/06/2012

Q5: Practical suggestions relating to an IoT demonstrator

Technical Infrastructure

(network of brokers)

P1 P2 P3 .... Pn

Supportive, Creative, Rapid Business Development

Environment

Development Projects & Trials

Demonstrator Target

• Transitioning to commercial operation requires;

• Careful selection of the initial service sectors and then spreading sector by sector- admitting additional data ontologies and minimum necessary API

additions.

• Initial hosting a government service on the system is desirable.

How can Smart Home Data &

Systems Improve Assisted

Living Services

10 April 2023 27Smart Home Data & Systems

How Can Smart Home Data & Systems Improve Assisted Living Services

Adrian Coe, WattBox Ltd

27th June 2012

Project Overview• Two specific Assisted Living convergence scenarios were developed:

– Ada – elderly lady living in a remote location with health issues– Fred & Gina – younger couple with learning and health difficulties

• These were used to assess the general market space and look at the suitability of existing and emerging technology products and services

• Industry Expert Group and User Focus Group engaged to test potential issues and emerging ideas

• Reviewed overall market space for smart home and assistive technology• The Technology envisaged to be offered would include:

– Smart Meter– Smart TV– Smart Heating Controls– Smart Fridge

• Through connectivity and internet services can we foresee useful assisted living applications & businesses using such lifestyle technology

What is Preventing Scenario from Happening?

• Technology Averse Customer Base

• Concerns about data security and Big Brother watching– Capacity to consent– Anonymous data versus personalised data

• Particularly where user attitudes are liberal on data sharing the duty of care lies with the service provider

• Cost of technology versus value of data– Technology tends to offset care costs but hard to value the benefits

• Active market development happening and creating new data silos to protect their service offerings and business

Applications and Services that Could Develop

• Many services exist or are emerging already in isolation but full benefits and cost effectiveness not being realised

• Potential for tailored solution mix to each individual

• We can do something useful with frivolous consumer technology like smart TV’s and Smart Fridges and make smart meters useful

Ada

Fall Detection

Memory Jogger

Retail

Activity Monitor

Rehab

HypothermiaPrescriptions

Care & GP

Services

Public

Transport

Appliance Mis-

Use

Home Budget

Smart TV

Actual Challenges Faced by Organisations

• Direct and perceived obligations under the Data Protection Act

• Finding a way to monetise service offerings

• Technical issues relating to diverse range of communication protocols

• Little perceived incentive to develop open standards and hardware within existing tele-health and tele-care businesses

• Where should data be aggregated and how/when should it be anonymised?– Who owns the data and the rights to use it?

Practical Strategies to Move Forwards

• Using familiar technologies such as the TV as the basis of user interface– Pill reminders to pop up between programmes based on EPG data– Easy integration of webcam and Skype can ease communication with family,

care providers or GP• Focus on most useful initial applications to generate the consumer need

– Lifestyle profiling for Epilepsy or other health tracking– Hypothermia Risk Reduction

• Push data ownership clearly down to the individuals in order to tackle data security issues openly– User works with a single trusted body to agree who has access to data

• Use standard consumer hardware and target useful lifestyle solutions at the mass market rather than assistive niches

• Ensure that all technology programmes in the Assisted Living sector are conducted with open data access and IOTC as implicit elements

• Extend programmes such as “Bridging the Digital Divide” to establish community champions

What UK Demonstration Would Help ?

• Establish an open data repository with clearly defined access rules and criteria– Needs to become a trusted host for personal and anonymous data– Companies and individuals able to sign up on standard terms and conditions to

upload and utilise data

• Encourage or mandate that all UK Government funded development projects to utilise this data repository– Similar basis to EST Database established for Retrofit for the Future– Quickly builds a carefully protected data set to be used by application developers

• Fund numerous small projects to encourage SME’s to utilise the data set and develop applications across a wide range of market sectors

Intelligent City Transportation

Infrastructure (ICT-i)

10 April 2023 35ICT-i

Intelligent City Transportation - Infrastructure (ICT-i)

IoT Convergence Showcase 26th June

Professor Dennis F Kehoe AIMES IoT Presentation

Denholm Logistics

External systems

Prospective intelligent transport systems

In-vehicle transport systems

Independent transport systems developer

...

Data providers

Traffic data information

Transport information centres

Legacy transport systems

...

Core ICT-i open service platform

Data aggregation

APIgateway

Intelligent user access

Intelligent transport service

management

Intelligent transport routing

Intelligent user

connectivity

Users

Bus/Train/Ferry services

Traffic controlConsumer

smartphone appsWi-Fi Hotspot

£ revenue £ revenue £ revenue £ revenue

Background – Urban Transport

Professor Dennis F Kehoe AIMES IoT Presentation

Denholm Logistics Professor Dennis F Kehoe AIMES IoT Presentation

The ICT-i Scenario

Aggregated service data

set 2

Common data API’s

Online user community

Improved service

performance

Aggregated service data

set 1

Cloud-based services SLA’s

Apps store development

User register for apps

Platform services

Connectivity services

Applications downloads

Value Chain Service Cost Models Service Revenue Models

Data Providers

Infrastructure Providers

Application Providers

UsersUser

consumes apps


The ICT-i Applications and Services

• Public transport – real time transport data, crowd source disruption data, increased

passenger engagement

• Private transport – collaborative traffic management, integration of GPS and traffic

data, route/congestion optimisation

• Freight transport – Port scheduling, vehicle prioritisation and monitoring


The ICT-i Challenges

• The infrastructure requirements in terms of the resilience, availability and scalability

to support an IoT Demonstrator in urban transport

• The requirements for data interoperability to create an open data store for transport

data including both on-board vehicle data and traffic system data

• The business models which would emerge from a transport IoT and the viability and

sustainability of such business models


The ICT-i Opportunity


The ICT-i Demonstrator

• Public Transport

• Private Transport

• Freight Transport

• Data Store

• Apps Community

• Six Stage Process

• Campus Focus

• Scalable

• Orchestrated

• Political Leadership

Internet of Things Convergence

For Housing, Care and Health

10 April 2023 43Housing, Care and Health

Consortium:

Housing 21

IBM UK

IVHM Centre

Technology Strategy Board

Cranfield University

Internet of Things for Housing, Health and Care

27th

of June 2012

Internet of Things for Housing, Health and Care

Overall goal: develop a strategy and plan to enable Housing 21 to access and share information about relevant “things” regardless of location or repository, and deliver it to the right people at the right place and time in order to directly benefit the health and wellbeing of its clients.

Health records

Tenancy agreements

Care records

Financial information

Data from “Things”

Question 1. What’s preventing the scenario from actually happening…

46

Key Challenges Faced by the Care Industry

Financial Implications

due to increasing

needs of an ageing

population

Difficulties collating

data (data about

people developing

dementia)

Difficulties measuring

Quality of Life

Inefficient data

exchange and

problems leveraging

large amounts of data

Security, privacy and

legal issues

Opportunities

Need and desire to

deploy ‘smart’ way of care

provision and

management

Reduced case load and

data burden

Recognised need and

demand for a client

centred data approach

Potential Benefits

Improvements in clients

Quality of Life and

physical, mental and

social health

Improved service

provision and client

engagement

Increased efficiency

Increased competition

between suppliers and

choice for consumers

Key Challenges Faced by the Care Industry

Value Network Map

Question 2: Applications and Services that can be used in the Scenario…

47

Marie, living at Housing 21 extra care home

The Converged Scenarios

Scenario Model

Question 3: Challenges faced by H21 and its peers…

The scale of the problem and associated costs

Lack of specialist expertise and resources within the relevant organisations

Lack of trust, willingness and incentives to share data; lack of openness and

transparency

Security issues

Confidentiality, privacy and ethical Issues

Stakeholder perception and resistance to deployment

Poor flexibility to the external environment

Question 4: Practical strategies to move towards the scenario…

- Clearly defined business case

- Road mapping

- Training

- Strategic partnerships with technology providers

Opening up data and adoption of intermediary measures

Stronger authentication measures

Further in depth studies involving a cross section of stakeholders

- Adaptable interfaces

- Research on the adoption of innovation in the sector

Change management and business process re- engineering

Q5: The demonstrator…

IoT Enabled Converged and

Open Services for Transport

and Logistics

10 April 2023 51Transport and Logistics

IoT Enabled Converged and Open Servicesfor Transport and LogisticsAlistair Duke - BT Research and Technology

© British Telecommunications plc

Open Logistics Information

Hub

Port

City

Local

Attraction

information

Forecast

Weather

Events

Highways

Agency

Events

Schools

Events

County

Council

Events

Local

Authority

Events

Unforecast

Weather

Event

Congestion Information,

Road speeds, etc.

Project Overview


Commercial LegalTechnical

Q1: What is preventing the scenario from happening?


Q2: What are the applications and services that could be developed?

Journey Time Planning

Incident Management


Q3: What challenges are faced by the organisations involved?

Recognising data as a

digital asset

Business

model innovation

Understanding

the value chain


Q4: What practical strategies can be employed to move towards the converged scenario?

Information Hub

Market MakerIncentives for new

entrants


Q5: What UK demonstration facilities would help to experiment?

• Develop an open information hub• Provide capabilities / enablers• Populate the hub with cross domain data • Develop exemplar applications• Widen involvement via partnerships• Enabling experimentation with value chains and business

models

MyHealthTrainer

10 April 2023 59MyHealthTrainer

MyHealthTrainer

Final workshop presentation27 June 2012

Everyone is a Self Hacker...

Why do I always feel

so depressed?

How do I lose some

weight?

Why do I never have

energy to do anything

fun?

Is it something I ate?

... but some tools

would make us

better at it.

Accelerometer,

Location Data (Smartphone)

Home Energy

Data

Other personal

data sources

External

Comparison

Raw data storage

Personal Log

Activity Inference Engine Metadata & User Annotation

Self-hacking

Tools

Other automatic

data sources

Q1: 24 Hours

Self Hacking System

Q2: Apps and Services

• Self Hacking / Behaviour Change Applications– well-being { weight-loss, fitness, stress}– optimised travelling {link to public data}– energy saving– improved commerce (VRM)

• Enablers– GB smart meter roll out– Smart phones / pedometers , APIs for data access– Map reduce technology

Q3: Challenges

• Personal data locked in CRM Silos / No Ecosystem– E.g. supermarket loyalty cards– Data Protection Act Request for personal data - £10 for a snail-mail printout.– Our experience: hard to get retailers to share personal data

• Data Literacy (of Individuals and some organisations)– Excessive disclosure on Facebook– Surprise that smart meter analysis leads to family disputes– But this is improving.... E.g. Quantified Self movement

• Behaviour Change– Information => motivation, – But motivation not enough => smart phone triggers.

Q4: Strategies Towards Scenario

1. The Standard’s Approach (API’s data formats)2. Linux Approach

– Open source (storage, analysis, and wordpress style dev kits). 3. Apple app store

– Core features funded by large organisations4. Retailer approach

– Similar to 3. Then sell services through retail channel. 5. Bootstrap

– New company slowly builds its own channel to market and brand (e.g. FitBit).

3, 4, 5 too early just means more silos and not convergence.

Q5: Demonstrator Recommendations

Demonstrator Co.

(App store)

SME(s)

Technology Strategy

Board

£

Brands

Users

£

Apps/

services

services£

£

apps

Fig.1 Value Chains

Public

Infrastructure

Data

Personal

Data

Smart Streets

10 April 2023 67MyHealthTrainer

Smart StreetsRichard Boswell-Challand,

In Touch Ltd

Summary

The Smart Streets Project has explored the potential for connecting highways

street assets to the Internet of Things

Investigated how creating virtual representations of these ‘things’ enables radical

changes in the the way we maintain our infrastructure and enables new

applications in areas such as flood management, highways planning and travel

information

Identified clear opportunity for rapid national rollout and use.

Q1: The Scenario

Why Smart Street Streets ?

- typically publically owned

- ubiquitous

- the connection points between buildings and cities

The Smart Streets converged scenario is of an integrated, connected infrastructure that encompasses

notions of intelligent transport and smart street furniture, acting as an integration point for a variety of

sensor-based smart systems (a system of systems) and providing a key component of the future smart

city or smart region.

Q2: Apps & Services

Enables a wide range of applications and services:

-SmartGully

-SmartGrit

-Enhanced maintenance

Q3: Challenges

We conducted a series of user-engagement exercises including “an innovation workshop” and

interviews to understand challenges.

Many challenges centred around the competitive and relatively short term nature of business.

Technical challenges focus on combining need for standards with the required level of agility.

Few ethical or legal issues.

Q4: Moving Forwards

The highways maintenance domain is potentially one of the most amenable to high-speed adoption of

IoT technologies.

Contracts used to outsource maintenance are subject, ultimately, to government control. By imposing

conditions relating to IoT standards compliance on sub-contractors bidding for work, the Smart Streets

scenario can actually be achieved by fairly short-term changes, as contracts tend to be issued on a five-

year cycle.

A converged IoT scenario could be realised on a national scale within a surprisingly short time-scale

(around five years).

Q5: The Demonstrator

A regional walled garden with knowledge hubs to support a range of activities.

Fast fail model to facilitate rapid, cheap innovation.

Investment in data feeds.

Ability to grow to a national scale within 5 years.

Value chain analysis of the

Internet of Things for the

Brewing Industry (VIB)

10 April 2023 75VIB

Value chain analysis of the Internet of things for the Brewing industry (VIB)

Tom Hare / Howard Stone

Project Summary

What is preventing our scenario from happening ?

• Technology Adoption• Set Down of the overall “open Loop”

infrastructure• Completion of a commercially viable end to

end demonstrator• No first-mover advantage

Applications and services that could be developed in our scenario

• Data Provider• Infrastructure Servicing• Consumer engagement Apps• Tracking Apps• Sensor Networks• Feedback for consumption – partly have the

information as a revenue stream – self fund

Challenges faced by those involved

• Costs for the technology providers– how to generate revenues– How to drive down unit costs of technology

• Process change in retail– Incent/persuade staff and owners – show them the return

• Process change for logistics and product providers– Show the savings potential

• Consumer Privacy Concerns

Strategies to moving towards the converged scenario

• Picking up learnings from other scenario projects

• Build out awareness of converged IoT• Heavy and continued communications plan• Show the savings• Continue to develop Pilot Trial as a Showcase• Expand to the Smart High Street – engage

more forward thinking co-partners

Recommendation for the demonstrator

• Something people can engage with• Results that can be seen• Use of existing thoughts/processes/data

sources• Consumer Engagement• Walled Garden

– Manageable Scope– Based on geographic location

• -> Smart High Street

© 100%Open 2012

Project contacts

April 10, 2023 83

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Roland Harwood and David Simoes-Brown

Co-Founders & Partners

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