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TSB IoT Showcase

Presentations from the 10 pilot projects taking part in the TSB Internet of Things Convergence Programme.

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  1. 1. 27 June 2012 © 100%Open 2010 1TSB IoT Convergence Showcase27th June 2012
  2. 2. 27 June 2012 2CCR CCR (Consumer Convergent Retail)
  3. 3. CCR – Consumer Convergent Retail 3Explored the convergent scenarios within retail environments combing online and offline experiences and data
  4. 4. 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?
  5. 5. 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.
  6. 6. 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.
  7. 7. 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.
  8. 8. 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.
  9. 9. 27 June 2012 11City of Things City of Things
  10. 10.
  11. 11. Overview• Urban built environment• Centred around Manchester• How to enable and apply IoT
  12. 12. Barriers• Investment and risk• Governing use of personal or commercial data
  13. 13. 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
  14. 14. Challenges• Privacy and control of data use• Funding a shared pervasive wireless network• Practical issues around data collection• Data management and distribution
  15. 15. Strategies• „Standard labels‟ for data governance• Choose standards for devices and comms• Use Linked Data and APIs for data distribution
  16. 16. 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
  17. 17. 27 June 2012 19Cross Domain IoT Interchange Broker Cross Domain IoT Interchange Broker
  18. 18. Our project partners 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 BathCube Computer Science Telecoms & Innovation • Technical Consultancy • User behaviour Industrial Infrastructure/computing; • Horstmann / Secure Controls UK • SciSys • University of Bath – Department of Computer Science Project Management;© 2012 Cambridge Wireless • BathCube Ltd
  19. 19. Town HallHospital GPChemistGrocer Severe Weather Scenario Overview
  20. 20. Q1: Barriers to convergent scenario, potential identified etcBarriers Economic Potential • Separate „silo‟ data chains • IoT services we foresee ● Technical between health/energy/LA ● Corporate behaviour entities do have major potential given that; • End to end connectivity ● Heavy snow in Dec 2010 cost NHS extra £42m. • Data confidentiality / Legal ● 15 to 24% rise in Chronic Obstructive Pulmonary • Addressing formats Disorder admissions with low temperatures. • Lack of incentive (financial or ● 27,000 excess winter deaths otherwise) to share data ● Coldest housing quarter 3* higher rate than • Regulatory warmest quarter. ● Increasing energy supply • User behaviour variability requires IoT enabled smart grids.© 2012 Cambridge Wireless 27/06/2012
  21. 21. 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 Warning Incident Recovery • Identify at risk • Cascade early • Monitors at risk • Use of improved individuals warnings to individuals remotely situational professionals • Schedules awareness to direct • Adapt processes • Care chain predicts resources to most resources based on to IoT data likely needs and actual needs arising affected locations availability fulfils • e.g. Remote • Communicates to • Set up visibility & • Tailored advice intervention to individuals of control of data • Food, Oxygen, ensure heating is changes to routine set to best level for until normality is • Distribute care Prescriptions restored health equipment to • Crowd sourced data vulnerable • e.g. Proactive welfare telephone improves • Identify and call if normal awareness insulate poor routine deviated thermal from performance houses Barriers : Inertia, Lack of abstraction, Human Factors, Trust, Reward, Security, Lack of suitable brokers.© 2012 Cambridge Wireless 27/06/2012
  22. 22. 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. Little incentive to spend £x to save £nX in today’s delivery chains © 2012 Cambridge Wireless 27/06/2012
  23. 23. 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. © 2012 Cambridge Wireless 27/06/2012
  24. 24. Q5: Practical suggestions relating to an IoT demonstrator• The demonstrator requires; Supportive, Creative, Rapid ● Technology investment in 2 or more Business Development interoperable broker systems; Environment ● minimum functionality to support new broker enabled services spanning 2 or more business sectors. Development Projects & Trials ● Community and Engagement- A business development environment to bring data set P1 P2 P3 .... Pn owners, innovators, developers together to build initial viable services. Technical Infrastructure ● A well defined technical architecture before (network of brokers) tenders for development are invited. ● Use of „Open Innovation‟ practices within Demonstrator Target CDEC to successfully engage both large and small organisations .• 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. © 2012 Cambridge Wireless 27/06/2012
  25. 25. 27 June 2012 27Smart Home Data & Systems How can Smart Home Data & Systems Improve Assisted Living Services
  26. 26. How Can Smart Home Data & Systems Improve Assisted Living Services Adrian Coe, WattBox Ltd 27th June 2012
  27. 27. 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
  28. 28. 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
  29. 29. Applications and Services that Could Develop Fall Detectio• Many services exist or are n Home Memory emerging already in isolation Budget Jogger but full benefits and cost effectiveness not being Applianc realised e Mis- Use Retail• Potential for tailored solution mix to each individual Public Ada Activity Transpor Monitor t• We can do something useful with frivolous consumer technology like smart TV‟s and Care & Smart TV GP Rehab Services Smart Fridges and make smart meters useful Prescript Hypothe ions rmia
  30. 30. 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?
  31. 31. 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
  32. 32. 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
  33. 33. 27 June 2012 35ICT-i Intelligent City Transportation Infrastructure (ICT-i)
  34. 34. Intelligent City Transportation - Infrastructure (ICT-i) IoT Convergence Showcase 26th JuneProfessor Dennis F Kehoe AIMES IoT Presentation
  35. 35. Background – Urban Transport Data providers External systems Core ICT-i open service platform Intelligent Traffic data Intelligent Prospective intelligent transport information user access transport systems routing Data API aggregation gateway Intelligent Intelligent Transport information transport In-vehicle transport user centres service systems connectivity management Legacy transport Independent transport systems systems developer ... ... £ revenue £ revenue £ revenue £ revenue Bus/Train/Ferry Consumer Traffic control Wi-Fi Hotspot services smartphone apps UsersDenholm LogisticsProfessor Dennis F Kehoe AIMES IoT Presentation
  36. 36. The ICT-i Scenario Value Chain Service Cost Models Service Revenue Models Aggregated service data set 2 Improved Common data Online user Data Providers API‟s community service performance Aggregated service data set 1 Infrastructure Cloud-based Platform Connectivity Providers services SLA‟s services services Application Apps store Applications Providers development downloads User register User Users for apps consumes appsDenholm LogisticsProfessor Dennis F Kehoe AIMES IoT Presentation
  37. 37. 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 monitoringDenholm LogisticsProfessor Dennis F Kehoe AIMES IoT Presentation
  38. 38. 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 modelsDenholm LogisticsProfessor Dennis F Kehoe AIMES IoT Presentation
  39. 39. The ICT-i OpportunityDenholm LogisticsProfessor Dennis F Kehoe AIMES IoT Presentation
  40. 40. The ICT-i Demonstrator • Public Transport • Private Transport • Freight Transport • Data Store • Apps Community •Six Stage Process •Campus Focus •Scalable •Orchestrated •Political LeadershipDenholm LogisticsProfessor Dennis F Kehoe AIMES IoT Presentation
  41. 41. 27 June 2012 43Housing, Care and Health Internet of Things Convergence For Housing, Care and Health
  42. 42. Internet of Things forHousing, Health andCare Consortium: Housing 21 IBM UK IVHM Centre Technology Strategy Board Cranfield University 27th of June 2012
  43. 43. Internet of ThingsforHousing, Health Careand Care records Overall goal: develop a strategy and plan to enable Health Financial Housing 21 to access and share information about relevant “things” regardless of location or information records 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. Tenancy Data from agreements “Things”
  44. 44. Question 1. What‟spreventing the scenariofrom actuallyhappening… Key Challenges Faced by the Care Industry Opportunities Potential Benefits Inefficient Financial and Need Difficulties dataRecognised Improvements Implications to collating Increased desire data (data in clients ImprovedDifficulties exchange need Security, and competition due to Reduced and deploy „smart‟ service measuring Quality of Life increasing about Increased demand forand provision and load and problems between a privacy and physical, needs of of care case Quality ofefficiency suppliers and way an people client mental and developing data burden Life client choiceissues leveraging centred legal for ageing engagement large provision and social health dementia) population amounts of dataconsumers management data approach46
  45. 45. Question 2: Applications and Services thatcan be used in the Scenario… Value Network Map Scenario Model Marie, living at Housing 21 extra care home The Converged Scenarios47
  46. 46. Question 3: Challengesfaced by H21 and itspeers… 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
  47. 47. Question 4: Practicalstrategies to move towardsthe 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
  48. 48. Q5: Thedemonstrator…
  49. 49. 27 June 2012 51Transport and Logistics IoT Enabled Converged and Open Services for Transport and Logistics
  50. 50. IoT Enabled Converged and Open Servicesfor Transport and LogisticsAlistair Duke - BT Research and Technology
  51. 51. Project Overview City Congestion Information, Road speeds, etc. Port Open Logistics Information Local Attraction Hub Schools Events information Local Unforecast Authority Highways County Forecast Weather Events Agency Council Weather Event© British Telecommunications plc Events Events Events
  52. 52. Q1: What is preventing the scenario fromhappening? Commercial Technical Legal© British Telecommunications plc
  53. 53. Q2: What are the applications and services thatcould be developed? Journey Time Planning© British Telecommunications plc Incident Management
  54. 54. Q3: What challenges are faced by theorganisations involved? Recognising data as a digital asset Business model innovation Understanding the value chain© British Telecommunications plc
  55. 55. Q4: What practical strategies can be employed tomove towards the converged scenario? Information Hub Market Maker Incentives for new entrants© British Telecommunications plc
  56. 56. Q5: What UK demonstration facilities would help toexperiment?• 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© British Telecommunications plc
  57. 57. 27 June 2012 59MyHealthTrainer MyHealthTrainer
  58. 58. MyHealthTrainerFinal workshop presentation 27 June 2012
  59. 59. Everyone is a Self Hacker... ... but some tools would make us better at it.
  60. 60. Q1: 24 HoursSelf Hacking System
  61. 61. 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
  62. 62. 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.
  63. 63. Q4: Strategies Towards Scenario1. 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.
  64. 64. Q5: Demonstrator RecommendationsFig.1 Value Chains Technology Strategy Brands Board £ £ services £ £ SME(s) Apps/ apps Demonstrator Co. services Users (App store) Public Infrastructure Personal Data Data
  65. 65. 27 June 2012 67MyHealthTrainer Smart Streets
  66. 66. Smart StreetsRichard Boswell-Challand,In Touch Ltd
  67. 67. SummaryThe Smart Streets Project has explored thepotential for connecting highways street assetsto the Internet of ThingsInvestigated how creating virtualrepresentations of these „things‟ enables radicalchanges in the the way we maintain ourinfrastructure and enables new applications inareas such as flood management, highwaysplanning and travel informationIdentified clear opportunity for rapid nationalrollout and use.
  68. 68. Q1: The ScenarioWhy Smart Street Streets ? - typically publically owned - ubiquitous - the connection points between buildings and citiesThe Smart Streets converged scenario is of an integrated,connected infrastructure that encompasses notions ofintelligent transport and smart street furniture, acting as anintegration point for a variety of sensor-based smart systems(a system of systems) and providing a key component of thefuture smart city or smart region.
  69. 69. Q2: Apps & Services Enables a wide range of applications and services: - SmartGully - SmartGrit - Enhanced maintenance
  70. 70. Q3: ChallengesWe conducted a series of user-engagement exercisesincluding “an innovation workshop” and interviews tounderstand challenges.Many challenges centred around the competitive andrelatively short term nature of business.Technical challenges focus on combining need for standardswith the required level of agility.Few ethical or legal issues.
  71. 71. Q4: Moving ForwardsThe highways maintenance domain is potentially one of themost amenable to high-speed adoption of IoT technologies.Contracts used to outsource maintenance are subject,ultimately, to government control. By imposing conditionsrelating to IoT standards compliance on sub-contractorsbidding for work, the Smart Streets scenario can actually beachieved by fairly short-term changes, as contracts tend tobe issued on a five-year cycle.A converged IoT scenario could be realised on a nationalscale within a surprisingly short time-scale (around fiveyears).
  72. 72. Q5: The DemonstratorA regional walled garden with knowledge hubs to support arange of activities.Fast fail model to facilitate rapid, cheap innovation.Investment in data feeds.Ability to grow to a national scale within 5 years.
  73. 73. 27 June 2012 75VIB Value chain analysis of the Internet of Things for the Brewing Industry (VIB)
  74. 74. Value chain analysis of the Internet of things for the Brewing industry (VIB) Tom Hare / Howard Stone
  75. 75. Project Summary
  76. 76. 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
  77. 77. 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
  78. 78. 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
  79. 79. 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
  80. 80. 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
  81. 81. 27 June 2012 © 100%Open 2012 83Project contactsRoland Harwood and David Simoes-BrownCo-Founders & Partners100%Open | Somerset House | South Building | London | WC2R 1LAPhone: +44 (0)20 78133 1006 | +44 (0)7811 761 435Email: | david@100open.comWeb: www.100Open.comTwitter: @100Open