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My Data Store - Telecom Italia

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Telecom Italia's 'My Data Store' presentation seen at the EIT ICT Labs Interactive Cloud Clinic event.

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My Data Store - Telecom Italia

  1. 1. Trusted Data Management with Service Ecosystem – EIT ICT Lab’s HII My Data Store presentation European Trusted Cloud Platform with Advanced Data and Service Management Ecosystem Interactive future cloud clinic event in London Digital Catapult Centre – London (UK), January, 19th 2015 Michele Vescovi Telecom Italia – SKIL michele.vescovi@telecomitalia.it
  2. 2. Smartphone SME SECURE STORAGE / Filtering / Aggregation / Anonymization Personal Data from Smartphon e Sensors Personal Data from Apps and Services Territorial, Business, Organization Data Personal Data Store PDS Access Policies Policy enforcement APIs ... Encription Analytics Visualizations Business support & Intelligence Services (APPs / WEB) Territorial, Business, Organization Data Container Users:produce different types of Personal Data, set access policies, access PDS services and added value APPS, control monetization, etc. Organizations: produce data, benefit from aggregations with other data sources and from add value APPs/Services on their data Data Stream
  3. 3. My Data Store:
  4. 4. The User Digital «shadow/footprint» Localization Communications &Interactions Consumptions (e.g. Utilities) Payments Health & Wellness Retailing Social Network
  5. 5. Personal Data Stores Awareness Personal Data Store Social Value (Personal Big Data) Exploitation – Disclosure Apps, Services, ... Control Collects PD from Heterogenous sources
  6. 6. User-Centric Personal Data Management My Data Store – Reference case at the World Economic Forum 2013
  7. 7. My Data Store Main features Web Mobile
  8. 8. 10 My Data Store: data types & data connectors Social Networks Wearable & Wellness Expenses Utilities Mobile (Apps., etc…) Retail/GDO Localization Communication
  9. 9. Smartphone SME SECURE STORAGE / Filtering / Aggregation / Anonymization Personal Data from Smartphon e Sensors Personal Data from Apps and Services Territorial, Business, Organization Data Personal Data Store PDS Access Policies Policy enforcement APIs ... Encription Analytics Visualizations Business support & Intelligence Services (APPs / WEB) Territorial, Business, Organization Data Container Users:produce different types of Personal Data, set access policies, access PDS services and added value APPS, control monetization, etc. Organizations: produce data, benefit from aggregations with other data sources and from add value APPs/Services on their data Data Stream
  10. 10. 12 Smartphone Storage/Encryption/Retrieval Personal Data from APPS PDS User control and awareness User Community management (Industry, Research) Data Stream Mobile Personal Data Store Personal Data from Services (e.g. WEB) API for (Personal/ Social/...) APPS Auditing Data Quality Assessment Connector s to external data Authentication DASHBOARD CB EXPLORATIO N Filtering / Aggregation / Anonymization / Semantic Engine My Data Store: Architecture
  11. 11. PERSONAL DATA PLATFORM My Data Store: App.s ecosystem One Personal Data Management platform enabling many application scenarios
  12. 12. The MTL ecosystem of co-designed Trusted Applications TIM CheckApp Personal Money Mng. Mobile My PDS Familink Favour Exchange SecondNose
  13. 13. The platform aggregates data from all the sensors each collecting a data point every five minutes. An app provides users real time information about the collected locations indicating the quality of the air breathed during a day. DAILY INDIVIDUAL MAP DYNAMIC COLLECTIVE MAP OF THE CITY Example: SecondNose (air Monitor) SecondNose
  14. 14. My Data Store mobile: dinamically control apps behavior
  15. 15. 17 Application opportunities on top of My Data Store’s data User awareness, quantified self, …360° User/Social Smart City data-driven services Trusted apps for exploit/disclose personal data into services… Personal (BIG) Data in TI Data Monetization
  16. 16. Control and Exploitation features User primacy over the entire PD life-cycle (from collection to usage) Deletion Area Sharing Area Collection Area
  17. 17. Control and Exploitation features Data exploitation with trusted apps, controlling apps’ behavior Trusted Apps Types of Data Types of Usages App Privacy Prefs
  18. 18. Increasing Awareness and Engagement and stimulate toward the Exploitation of PD Aggregated Individual Views (charts, timelines, maps, clusters, …) Detailed «Auditing» Views (raw/single data)
  19. 19. Social Views (collaborative views, comparison, …) Aggregated Individual Views (charts, timelines, maps, clusters, …) Detailed «Auditing» Views (raw/single data) Increasing Awareness and Engagement value for the community & social comparison
  20. 20. 23 Trusted Data Management with Service Ecosystem – EIT ICT Lab’s HII My Data Store presentation European Trusted Cloud Platform with Advanced Data and Service Management Ecosystem Interactive future cloud clinic event in London Digital Catapult Centre – London (UK), January, 19th 2015 Michele Vescovi Telecom Italia – SKIL michele.vescovi@telecomitalia.it

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