FIWARE: Future Internet Opportunities using Open Data Latvia, February 18 2015 Nuria de Lama Representative of Atos Research & Innovation to the EC FIWARE Collaboration Officer nuria.delama@atos.net Open Europe: Open Data for Open Society International Expert Panel Discussion http://fiware.org http://lab.fiware.org
Understanding FIWARE (Open Standard Platform) (advanced OpenStack-based Cloud + Enablers) rich library of Generic Driven by implementati on Sustainability ensured 2
Why an open standard platform is required Avoid vendor lock-in: Standard Southbound APIs for sensor providers Standard Northbound APIs offered to applications Portability across platform providers Interoperability of apps on top of different providers Larger community of developers (critical mass, economies of scale) True innovation More competition, leading to cost savings Not any standard is enough Modularity Allow different business models Integration with standard open data platform Non-intrusive (smooth integration with legacies) 3
Ecosystem and platform: two tied concepts Open Standard Platform Sustainable Open Innovation Ecosystem 4
FIWARE Lab: the meeting point where innovation takes place App Customers and Data providers Entrepreneurs, Developers Connect to entrepreneurs Put their data at work Bring new innovative services to end users Be more efficient Social Reputation Develop once for a large market Simple yet powerful APIs that accelerate product development Easily meet potential customers Marketing, promotion Ability to test with real data and end users 4,2 M promotion campaign FIWARE Technology Providers Coopetitive approach Connect to entrepreneurs: jointly exploit the opportunities 5 Campus Party events Startup Weekend events Chambers of Commerce 870 K in prizes 100 M of funding devoted to entrepreneurs in phase 3 of the FIWARE program
FIWARE Lab provides access to data 6
FIWARE for Smart Cities City (Country) IoT Open Data Amsterdam (Netherlands) Context Prototype Las Palmas (Spain) Lisbon (Portugal) Lleida (Spain) TBD (CitySDK-LD) Energy consumption dashboard Participation dashboard (CitySDK-Open311) Port management dashboard Mobility and social networks Public transport and accesibility Logroño (Spain) Malaga (Spain) Smart watering, City App Citizen as a sensor Espoo (Finland) Helsinki (Finland) Rotterdam (Netherlands) Santander (Spain) Sevilla (Spain) Torino (Italy) Trento (Italy) Big Data / Open Data publication of IoT Fountains water management, Crowds detection Security & participation 7 TBC
How can standard Smart City data models easing common solutions be defined? The problem Smart City apps can be ported from one Smart City to another once their platforms provide the same set of APIs, that s why FIWARE brings a rather high value Without standard data models, Smart City apps would need to come with adapters that transform data made available by the city so that it complies with the data model handled by the app but that has proven to be easy with OMA NGSI (overall if NGSI is at both ends) Creation of standard Smart City data models would allow to avoid performing this kind of adaptation and make portability of Smart City apps across Smart City platforms a pretty straightforward task How creation of these standard Smart City data models can be fostered? 8
Key messages/ recommendations The more cities the better Getting involved in FIWARE Accelerator program Adopting FIWARE set of standards Support of NGSI (Context Management) API is not so difficult, expensive nor intrusive Open source reference implementation available Reference examples of products that have been ported to comply with NGSI API specs or serve a bridge By connecting cities to FIWARE Lab we can create a rather genuine environment: Open data and context resources Access to sensor data Joint initiatives towards definition of standard data models following a driven by implementation approach 9
Funded by the European
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