SlideShare una empresa de Scribd logo
1 de 10
Co-funded by the European Commission
Horizon 2020 - Grant # 780792
ICARUS Policy Perspectives
Dr. Fenareti Lampathaki (Suite5) –
Technical Coordinator
Aviation-driven Data Value Chain for Diversified Global and Local Operations
ICT-14-2017: Big Data PPP: cross-sectorial and cross-lingual data integration and experimentation
European Big Data Value Forum, BDVA Workshop 2.3 "Policy issues, opportunities and barriers in
big data-driven transport", November 14th, 2018, Vienna
http://www.icarus2020.aero
Some Aviation Facts…
The EU aviation sector directly employs between 1.4 million and 2 million
people and overall supports between 4.8 million and to 5.5 million jobs.
The direct contribution of aviation to EU GDP is €110 billion (Source: EC,
An Aviation Strategy for Europe)
Overall, the aviation industry is experiencing an extended period of
growth and profitability.
EBDVF 2018, BDVA Workshops, Vienna 2
Policy Context for ICARUS
3EBDVF 2018, BDVA Workshops, Vienna
Related Policies & Initiatives for ICARUS
Key Priority 2. Tackling limits to growth in
the air and on the ground, by reducing
capacity constraints and improving efficiency
and connectivity
Key Priority 6. Embracing a new era through
innovation and digital technologies
4
ICARUS Platform ICARUS Demonstrators
ICARUS Platform
ICARUS
Demonstrators
EBDVF 2018, BDVA Workshops, Vienna
ICARUS Contribution to Strategic Research
& Innovation Agendas
Challenge 1: Meeting societal and
market needs
Challenge 2: Maintaining and
extending industrial leadership
Challenge 3: Protecting the
environment and the energy supply
Challenge 4: Ensuring safety and
security
Challenge 5: Prioritizing research,
testing capability and education
5
ICARUS Platform
ICARUS Demonstrators
ICARUS Platform
Demonstrators
EBDVF 2018, BDVA Workshops, Vienna
Key Perspectives
“…One of the biggest challenges is to integrate the different data silos, for example weather data, live airspace usage or data from
the airports, and bring that data into the airline. Each airport will have its own platforms to connect its activity and record its operation, there is
really no standard and that complicates things. Even internally we are still merging different data sets from different areas in the company. I
think there is no airline or even company in the world that is there. Insights emerge when you put different
departmental data sets together, but at the moment, it is not a smooth process.”
By Rey-Villaverde (Head of Data Science, EasyJet)
Source: AEGEAN Airlines Presentation in the
“World of Interactive Data” Session
Source: SITA Smart Thinking, 2014
Key Challenges within and beyond the
scope of ICARUS
Who owns and controls the passenger data and the aircraft data?
How to trust data sharing contracts on a blockchain instead of bilateral agreements?
How to address the cold-start problem?
How to infuse a data sharing mentality in aviation?
How to promote data standardization among highly fragmented data and actors?
How to facilitate data integration in a flexible manner for business users who lack the
required expertise and resources?
How to generalize algorithms?
How to avoid any bias imposed by the training data?
How to ensure interpretability of the AI results?
I. Trusted and Fair Data SharingI. Trusted and Fair Data Sharing
II. Affordable and Cost-efficient Data LinkingII. Affordable and Cost-efficient Data Linking
III. Insightful and Understandable Data AnalyticsIII. Insightful and Understandable Data Analytics
ICARUS in a nutshell
End-to-end encryption of data
Smart data linking over encrypted data
Data sharing contracts written in blockchain
Design analytics recipes and execute analytics
jobs in Private Experimentation Spaces
Schedule analytics jobs over continuously
updated private data
Analytics over data assets usage
Orchestration for resources
1
2 AVIATION DATA VALUE CHAIN
3 NOVEL ICARUS ASPECTS
Aviation-driven Data Value Chain for Diversified Global and Local OperationsAviation-driven Data Value Chain for Diversified Global and Local Operations
Topic: ICT-14-2016-2017 Big Data PPP: cross-sectorial and cross-lingual data integration
and experimentation
Topic: ICT-14-2016-2017 Big Data PPP: cross-sectorial and cross-lingual data integration
and experimentation
Start Date
01/01/2018
Start Date
01/01/2018
36 Months36 Months
Innovation ActionInnovation Action
Summary ICARUS Facts
11 Partners11 Partners
4 Demonstrators4 Demonstrators
5 Countries5 Countries
Co-funded by the European Commission
Horizon 2020 - Grant # 780792
Thanks for your attention !
Aviation-driven Data Value Chain for Diversified Global and Local Operations
ICT-14-2017: Big Data PPP: cross-sectorial and cross-lingual data integration and experimentation
http://www.icarus2020.aero
Dr. Fenareti Lampathaki (Suite5) –
Technical Coordinator
fenareti@suite5.euWatch our video teaser
Follow us @icarus2020aero
European Big Data Value Forum, BDVA Workshop 2.3 "Policy issues, opportunities and barriers in
big data-driven transport", November 14th, 2018, Vienna

Más contenido relacionado

La actualidad más candente

Big data analytics for transport
Big data analytics for transportBig data analytics for transport
Big data analytics for transport
UKinItaly
 

La actualidad más candente (20)

ICARUS @BDVA MeetUp in Sofia (May 2018)
ICARUS @BDVA MeetUp in Sofia (May 2018)ICARUS @BDVA MeetUp in Sofia (May 2018)
ICARUS @BDVA MeetUp in Sofia (May 2018)
 
BDE_SC4_WS3_2_Maria Rautavirta - Data Fuelling the Disruption of Mobility
BDE_SC4_WS3_2_Maria Rautavirta - Data Fuelling the Disruption of MobilityBDE_SC4_WS3_2_Maria Rautavirta - Data Fuelling the Disruption of Mobility
BDE_SC4_WS3_2_Maria Rautavirta - Data Fuelling the Disruption of Mobility
 
MaaS and future research needs: a further perspective
MaaS and future research needs: a further perspectiveMaaS and future research needs: a further perspective
MaaS and future research needs: a further perspective
 
FIWARE Global Summit - FIWARE Today and Tomorrow
FIWARE Global Summit - FIWARE Today and TomorrowFIWARE Global Summit - FIWARE Today and Tomorrow
FIWARE Global Summit - FIWARE Today and Tomorrow
 
FIWARE Global Summit - The Future of FIWARE from a Corporate Perspective
FIWARE Global Summit - The Future of FIWARE from a Corporate PerspectiveFIWARE Global Summit - The Future of FIWARE from a Corporate Perspective
FIWARE Global Summit - The Future of FIWARE from a Corporate Perspective
 
SC4 Workshop 1: Evangelos Mitsakis: Big data Sources for/from Intelligent Roa...
SC4 Workshop 1: Evangelos Mitsakis: Big data Sources for/from Intelligent Roa...SC4 Workshop 1: Evangelos Mitsakis: Big data Sources for/from Intelligent Roa...
SC4 Workshop 1: Evangelos Mitsakis: Big data Sources for/from Intelligent Roa...
 
SC4 Workshop 1: Simon Scerri (Fraunhofer) - What can big data do for transport?
SC4 Workshop 1: Simon Scerri (Fraunhofer) - What can big data do for transport?SC4 Workshop 1: Simon Scerri (Fraunhofer) - What can big data do for transport?
SC4 Workshop 1: Simon Scerri (Fraunhofer) - What can big data do for transport?
 
Big data and public transport
Big data and public transportBig data and public transport
Big data and public transport
 
Session 2.3 semantics for safeguarding & security – a police story
Session 2.3   semantics for safeguarding & security – a police storySession 2.3   semantics for safeguarding & security – a police story
Session 2.3 semantics for safeguarding & security – a police story
 
(New) Business models shaping future mobility
(New) Business models shaping future mobility(New) Business models shaping future mobility
(New) Business models shaping future mobility
 
MaaS and future research needs: a further perspective
MaaS and future research needs: a further perspectiveMaaS and future research needs: a further perspective
MaaS and future research needs: a further perspective
 
Dinalog Breakfast Supply Chain Seminar 14-4-2011 Logistics Cross Chain Coordi...
Dinalog Breakfast Supply Chain Seminar 14-4-2011 Logistics Cross Chain Coordi...Dinalog Breakfast Supply Chain Seminar 14-4-2011 Logistics Cross Chain Coordi...
Dinalog Breakfast Supply Chain Seminar 14-4-2011 Logistics Cross Chain Coordi...
 
Co-creating data value chains with the public sector
 Co-creating data value chains with the public sector Co-creating data value chains with the public sector
Co-creating data value chains with the public sector
 
Big Data in Transport: Gaps and Opportunities
Big Data in Transport: Gaps and OpportunitiesBig Data in Transport: Gaps and Opportunities
Big Data in Transport: Gaps and Opportunities
 
Presenting STRATEGIC Service Store
Presenting STRATEGIC Service StorePresenting STRATEGIC Service Store
Presenting STRATEGIC Service Store
 
Noesis project presentation
Noesis project presentationNoesis project presentation
Noesis project presentation
 
Big data analytics for transport
Big data analytics for transportBig data analytics for transport
Big data analytics for transport
 
SC4 Workshop 1: Nick Cohn: Traffic management
SC4 Workshop 1: Nick Cohn: Traffic managementSC4 Workshop 1: Nick Cohn: Traffic management
SC4 Workshop 1: Nick Cohn: Traffic management
 
Strategic Technical Presenation
Strategic Technical PresenationStrategic Technical Presenation
Strategic Technical Presenation
 
Enhancing Hong Kong's Competitiveness Through Data Center and Cloud Computing...
Enhancing Hong Kong's Competitiveness Through Data Center and Cloud Computing...Enhancing Hong Kong's Competitiveness Through Data Center and Cloud Computing...
Enhancing Hong Kong's Competitiveness Through Data Center and Cloud Computing...
 

Similar a ICARUS @EBDVF 2018 - BDVA Policy Session (November 2018, Vienna)

SmartManufacturing - Welcome - Marguglio.pptx
SmartManufacturing - Welcome - Marguglio.pptxSmartManufacturing - Welcome - Marguglio.pptx
SmartManufacturing - Welcome - Marguglio.pptx
FIWARE
 
Semantic Data Enrichment: a Human-in-the-Loop Perspective
Semantic Data Enrichment: a Human-in-the-Loop PerspectiveSemantic Data Enrichment: a Human-in-the-Loop Perspective
Semantic Data Enrichment: a Human-in-the-Loop Perspective
Università degli Studi di Milano-Bicocca
 
Session-2_ETSI-ISG-CIM_EG4U_NGSI-LD_Overview_and_Status_final_Mike-Fischer.pdf
Session-2_ETSI-ISG-CIM_EG4U_NGSI-LD_Overview_and_Status_final_Mike-Fischer.pdfSession-2_ETSI-ISG-CIM_EG4U_NGSI-LD_Overview_and_Status_final_Mike-Fischer.pdf
Session-2_ETSI-ISG-CIM_EG4U_NGSI-LD_Overview_and_Status_final_Mike-Fischer.pdf
alamak88w
 

Similar a ICARUS @EBDVF 2018 - BDVA Policy Session (November 2018, Vienna) (20)

Europe rules – making the fair data economy flourish
Europe rules – making the fair data economy flourishEurope rules – making the fair data economy flourish
Europe rules – making the fair data economy flourish
 
ICARUS @ 27th ACRIS Meeting (February 2020, London)
ICARUS @ 27th ACRIS Meeting (February 2020, London)ICARUS @ 27th ACRIS Meeting (February 2020, London)
ICARUS @ 27th ACRIS Meeting (February 2020, London)
 
BDVA default slide pack
BDVA default slide packBDVA default slide pack
BDVA default slide pack
 
SmartManufacturing - Welcome - Marguglio.pptx
SmartManufacturing - Welcome - Marguglio.pptxSmartManufacturing - Welcome - Marguglio.pptx
SmartManufacturing - Welcome - Marguglio.pptx
 
Lange - Industrial Data Space – Digital Sovereignty over Data
Lange - Industrial Data Space – Digital Sovereignty over DataLange - Industrial Data Space – Digital Sovereignty over Data
Lange - Industrial Data Space – Digital Sovereignty over Data
 
i4Trust_Data Spaces for effective and trusted data sharing.pptx
 i4Trust_Data Spaces for effective and trusted data sharing.pptx i4Trust_Data Spaces for effective and trusted data sharing.pptx
i4Trust_Data Spaces for effective and trusted data sharing.pptx
 
Building blocks for fair digital society
Building blocks for fair digital societyBuilding blocks for fair digital society
Building blocks for fair digital society
 
Idsa, smau, milano, 2019 10-24
Idsa, smau, milano, 2019 10-24Idsa, smau, milano, 2019 10-24
Idsa, smau, milano, 2019 10-24
 
Open Data Hub - Giulia Giussani - A look into the future of data sharing
Open Data Hub - Giulia Giussani - A look into the future of data sharingOpen Data Hub - Giulia Giussani - A look into the future of data sharing
Open Data Hub - Giulia Giussani - A look into the future of data sharing
 
Edge patterns in the IIoT
Edge patterns in the IIoTEdge patterns in the IIoT
Edge patterns in the IIoT
 
IRJET- A Smart Medical Monitoring Systems using Cloud Computing and Internet ...
IRJET- A Smart Medical Monitoring Systems using Cloud Computing and Internet ...IRJET- A Smart Medical Monitoring Systems using Cloud Computing and Internet ...
IRJET- A Smart Medical Monitoring Systems using Cloud Computing and Internet ...
 
Fraunhofer – SINTEF: towards an initiative on Data Sovereignty in Europe
Fraunhofer – SINTEF: towards an initiative on Data Sovereignty in EuropeFraunhofer – SINTEF: towards an initiative on Data Sovereignty in Europe
Fraunhofer – SINTEF: towards an initiative on Data Sovereignty in Europe
 
An overview of big data analysis
An overview of big data analysisAn overview of big data analysis
An overview of big data analysis
 
Interoperability and AIOTI
Interoperability and AIOTIInteroperability and AIOTI
Interoperability and AIOTI
 
Interoperability and AIOTI
Interoperability and AIOTIInteroperability and AIOTI
Interoperability and AIOTI
 
Semantic Data Enrichment: a Human-in-the-Loop Perspective
Semantic Data Enrichment: a Human-in-the-Loop PerspectiveSemantic Data Enrichment: a Human-in-the-Loop Perspective
Semantic Data Enrichment: a Human-in-the-Loop Perspective
 
Internet of Industrial Things Presentation - Sophie Peachey - IoT Midlands Me...
Internet of Industrial Things Presentation - Sophie Peachey - IoT Midlands Me...Internet of Industrial Things Presentation - Sophie Peachey - IoT Midlands Me...
Internet of Industrial Things Presentation - Sophie Peachey - IoT Midlands Me...
 
BigDataPilotDemoDays - I BiDaaS Application to the Manufacturing Sector Webinar
BigDataPilotDemoDays - I BiDaaS Application to the Manufacturing Sector WebinarBigDataPilotDemoDays - I BiDaaS Application to the Manufacturing Sector Webinar
BigDataPilotDemoDays - I BiDaaS Application to the Manufacturing Sector Webinar
 
WHY WE NEED AN EUROPEAN LOGISTICS DATA SPACE
WHY WE NEED AN EUROPEAN LOGISTICS DATA SPACEWHY WE NEED AN EUROPEAN LOGISTICS DATA SPACE
WHY WE NEED AN EUROPEAN LOGISTICS DATA SPACE
 
Session-2_ETSI-ISG-CIM_EG4U_NGSI-LD_Overview_and_Status_final_Mike-Fischer.pdf
Session-2_ETSI-ISG-CIM_EG4U_NGSI-LD_Overview_and_Status_final_Mike-Fischer.pdfSession-2_ETSI-ISG-CIM_EG4U_NGSI-LD_Overview_and_Status_final_Mike-Fischer.pdf
Session-2_ETSI-ISG-CIM_EG4U_NGSI-LD_Overview_and_Status_final_Mike-Fischer.pdf
 

Último

Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdf
Lars Albertsson
 
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
amitlee9823
 
Determinants of health, dimensions of health, positive health and spectrum of...
Determinants of health, dimensions of health, positive health and spectrum of...Determinants of health, dimensions of health, positive health and spectrum of...
Determinants of health, dimensions of health, positive health and spectrum of...
shambhavirathore45
 
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in  KishangarhDelhi 99530 vip 56974 Genuine Escort Service Call Girls in  Kishangarh
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh
9953056974 Low Rate Call Girls In Saket, Delhi NCR
 
Call Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts Service
Call Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts ServiceCall Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts Service
Call Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts Service
9953056974 Low Rate Call Girls In Saket, Delhi NCR
 

Último (20)

Generative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and MilvusGenerative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and Milvus
 
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
 
Discover Why Less is More in B2B Research
Discover Why Less is More in B2B ResearchDiscover Why Less is More in B2B Research
Discover Why Less is More in B2B Research
 
Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdf
 
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
 
April 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's AnalysisApril 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's Analysis
 
Sampling (random) method and Non random.ppt
Sampling (random) method and Non random.pptSampling (random) method and Non random.ppt
Sampling (random) method and Non random.ppt
 
Introduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptxIntroduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptx
 
Determinants of health, dimensions of health, positive health and spectrum of...
Determinants of health, dimensions of health, positive health and spectrum of...Determinants of health, dimensions of health, positive health and spectrum of...
Determinants of health, dimensions of health, positive health and spectrum of...
 
VidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptxVidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptx
 
Week-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interactionWeek-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interaction
 
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in  KishangarhDelhi 99530 vip 56974 Genuine Escort Service Call Girls in  Kishangarh
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh
 
Mature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptxMature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptx
 
Edukaciniai dropshipping via API with DroFx
Edukaciniai dropshipping via API with DroFxEdukaciniai dropshipping via API with DroFx
Edukaciniai dropshipping via API with DroFx
 
Zuja dropshipping via API with DroFx.pptx
Zuja dropshipping via API with DroFx.pptxZuja dropshipping via API with DroFx.pptx
Zuja dropshipping via API with DroFx.pptx
 
CebaBaby dropshipping via API with DroFX.pptx
CebaBaby dropshipping via API with DroFX.pptxCebaBaby dropshipping via API with DroFX.pptx
CebaBaby dropshipping via API with DroFX.pptx
 
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdfMarket Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
 
BigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptxBigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptx
 
Halmar dropshipping via API with DroFx
Halmar  dropshipping  via API with DroFxHalmar  dropshipping  via API with DroFx
Halmar dropshipping via API with DroFx
 
Call Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts Service
Call Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts ServiceCall Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts Service
Call Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts Service
 

ICARUS @EBDVF 2018 - BDVA Policy Session (November 2018, Vienna)

  • 1. Co-funded by the European Commission Horizon 2020 - Grant # 780792 ICARUS Policy Perspectives Dr. Fenareti Lampathaki (Suite5) – Technical Coordinator Aviation-driven Data Value Chain for Diversified Global and Local Operations ICT-14-2017: Big Data PPP: cross-sectorial and cross-lingual data integration and experimentation European Big Data Value Forum, BDVA Workshop 2.3 "Policy issues, opportunities and barriers in big data-driven transport", November 14th, 2018, Vienna http://www.icarus2020.aero
  • 2. Some Aviation Facts… The EU aviation sector directly employs between 1.4 million and 2 million people and overall supports between 4.8 million and to 5.5 million jobs. The direct contribution of aviation to EU GDP is €110 billion (Source: EC, An Aviation Strategy for Europe) Overall, the aviation industry is experiencing an extended period of growth and profitability. EBDVF 2018, BDVA Workshops, Vienna 2
  • 3. Policy Context for ICARUS 3EBDVF 2018, BDVA Workshops, Vienna
  • 4. Related Policies & Initiatives for ICARUS Key Priority 2. Tackling limits to growth in the air and on the ground, by reducing capacity constraints and improving efficiency and connectivity Key Priority 6. Embracing a new era through innovation and digital technologies 4 ICARUS Platform ICARUS Demonstrators ICARUS Platform ICARUS Demonstrators EBDVF 2018, BDVA Workshops, Vienna
  • 5. ICARUS Contribution to Strategic Research & Innovation Agendas Challenge 1: Meeting societal and market needs Challenge 2: Maintaining and extending industrial leadership Challenge 3: Protecting the environment and the energy supply Challenge 4: Ensuring safety and security Challenge 5: Prioritizing research, testing capability and education 5 ICARUS Platform ICARUS Demonstrators ICARUS Platform Demonstrators EBDVF 2018, BDVA Workshops, Vienna
  • 6. Key Perspectives “…One of the biggest challenges is to integrate the different data silos, for example weather data, live airspace usage or data from the airports, and bring that data into the airline. Each airport will have its own platforms to connect its activity and record its operation, there is really no standard and that complicates things. Even internally we are still merging different data sets from different areas in the company. I think there is no airline or even company in the world that is there. Insights emerge when you put different departmental data sets together, but at the moment, it is not a smooth process.” By Rey-Villaverde (Head of Data Science, EasyJet) Source: AEGEAN Airlines Presentation in the “World of Interactive Data” Session Source: SITA Smart Thinking, 2014
  • 7. Key Challenges within and beyond the scope of ICARUS Who owns and controls the passenger data and the aircraft data? How to trust data sharing contracts on a blockchain instead of bilateral agreements? How to address the cold-start problem? How to infuse a data sharing mentality in aviation? How to promote data standardization among highly fragmented data and actors? How to facilitate data integration in a flexible manner for business users who lack the required expertise and resources? How to generalize algorithms? How to avoid any bias imposed by the training data? How to ensure interpretability of the AI results? I. Trusted and Fair Data SharingI. Trusted and Fair Data Sharing II. Affordable and Cost-efficient Data LinkingII. Affordable and Cost-efficient Data Linking III. Insightful and Understandable Data AnalyticsIII. Insightful and Understandable Data Analytics
  • 8. ICARUS in a nutshell End-to-end encryption of data Smart data linking over encrypted data Data sharing contracts written in blockchain Design analytics recipes and execute analytics jobs in Private Experimentation Spaces Schedule analytics jobs over continuously updated private data Analytics over data assets usage Orchestration for resources 1 2 AVIATION DATA VALUE CHAIN 3 NOVEL ICARUS ASPECTS
  • 9. Aviation-driven Data Value Chain for Diversified Global and Local OperationsAviation-driven Data Value Chain for Diversified Global and Local Operations Topic: ICT-14-2016-2017 Big Data PPP: cross-sectorial and cross-lingual data integration and experimentation Topic: ICT-14-2016-2017 Big Data PPP: cross-sectorial and cross-lingual data integration and experimentation Start Date 01/01/2018 Start Date 01/01/2018 36 Months36 Months Innovation ActionInnovation Action Summary ICARUS Facts 11 Partners11 Partners 4 Demonstrators4 Demonstrators 5 Countries5 Countries
  • 10. Co-funded by the European Commission Horizon 2020 - Grant # 780792 Thanks for your attention ! Aviation-driven Data Value Chain for Diversified Global and Local Operations ICT-14-2017: Big Data PPP: cross-sectorial and cross-lingual data integration and experimentation http://www.icarus2020.aero Dr. Fenareti Lampathaki (Suite5) – Technical Coordinator fenareti@suite5.euWatch our video teaser Follow us @icarus2020aero European Big Data Value Forum, BDVA Workshop 2.3 "Policy issues, opportunities and barriers in big data-driven transport", November 14th, 2018, Vienna