Cross-CPP Early Prototype results have been presented and discussed at the AI Expo Korea 2019 in Seoul. The Brno University of Technology shared its booth with the Czech government agencies CzechInvest and CzechTrade at the AI Expo, July 17-19, 2019. Several visitors from large Korean companies (including those that make their business in the automotive and smart building sectors) have been interested in the preliminary results of the big data analytics and would follow project future development.
This project meeting took place in Madrid in the premises of UPM (Universidad Politécnica de Madrid), June 11-12, 2019. The focus of this meeting was to align the last doubts with respect to the early prototypes software development, testing and assessment of these prototypes and discussion of the demonstration scenarios of the Ecosystem modules and cross-sectorial services.
ATB and the Virtual Vehicle Research Center (VIF) from Graz had a 2-day knowledge exchange workshop in Bremen at 28 and 29.1.2019. VIF and ATB have met before in the Workshop Big Vehicle Data to Digital Services organized by VIF, where some common ground in research topics has been identified.
The knowledge exchange workshop between VIF and ATB was mostly motivated by the Cross-CPP and AEGIS projects, both projects dealing the Big Data challenges. VIF presented the results of the AEGIS project to ATB, more specifically the results from the automotive demonstrator with respect to inferring broken roads and safe driving. ATB introduced Cross-CPP in general and in particular the Common Industrial Data Model, which is an extension of the Common Vehicle Information Model (from the previous project AutoMat) as a brand independent data model to make vehicle data available to cross-sectorial industries allowing cross-domain use cases, which will be extended in CROSS-CPP. Many commonalities could be identified between AEGIS and CROSS-CPP.
During this fruitful workshop many topics were aligned, and future cooperation activities were discussed.
Atos Research & Innovation Digital Show, is a yearly event organized by the R & D department of Atos Spain that seeks to publicize some of the innovations and solutions developed through research projects funded by the European Commission for different sectors with the use of various advanced technologies.
Atos Research & Innovation (ARI) is the center for research and development of new technologies and a key reference for the entire Atos group. Thanks to its extensive experience in research, development and innovation projects, ARI is able to provide new solutions and innovative elements to the clients’ business.
In this 2nd Edition, ARI’s most mature projects, solutions, and use cases haven been showcased: Citytraffic, SMBS, Service DUOS, sPEIDI, AutoMat and Cross-CPP AGORA Data MarketPlace, ElasTest, EO4wildlife, and VICINITY. The objective of the presenting AGORA data markeplace is to showcase the technological and business value impact behind the data marketplace to broker and consuming datasets for data-driven services creation. It has been developed within the context of AutoMat, with an initial focus on collecting and trading connected vehicle data, and Cross-CPP as the natural evolution of the platform to extend into a cross-industry scope by ingesting cross-Cyber Physical Products data sources to explore the potential of sharing and aggregating data from different verticals, specially in this case by collecting data from Home Systems and Intelligent Building data sources.
Check some of the photos taken during the event in Madrid on November 27th @BTIC Auditorium, in Paseo Doce Estrellas 2, Madrid:
The Cross-CPP Public Innovation concept describing key ideas of the envisioned Cross-CPP ecosystem has been created:
Cross-CPP project was represented by the consortium partner Universidad Politécnica de Madrid (UPM), in the Panels for discussion about technical challenges around each Data4AI technologies hosted BDVA and PPP project coordinators representatives. The workshop was attended by 40 participants, including representatives of industry, research institutes, as well as the European Commission and different public administrations. During the workshop a series of speeches have carried out to discuss and share views about how the advances towards Artificial Intelligence (AI) environments are also growing the appearance of shortcoming technical barriers in different technology applications of AI.
Initially, the workshop concentrates in the identification of the main societal and technical challenges that the Industry is facing to have a full roll-out of Data driven Artificial Intelligence (AI) technologies in real-life environment scenarios.
For that purpose, Big Data Value Association (BDVA) presents their position statement paper on “Artificial Intelligence for European Economic Competitiveness and Societal Progress” which clearly express how the combination of a wide range of technology applications would boost the adoption of AI solutions in the market by overcoming the main societal (ethical, regulatory, legal, etc.) and technical surrounded challenges data-driven AI. Those technical challenges come from the different set of AI Technology applications listed as follows: Advanced data analytics, Hybrid AI, Distributed AI / Edge Analytics, Hardware optimized to AI and Multi-lingual AI.
Finally, given the initial research work done and results obtained in Cross-CPP surrounded the Analytics Toolbox component, UPM presented to the audience which are the main challenges of Cross-CPP when trying to integrate mass data source analytics approach in a B2B Data-Marketplace mainly concentrating in addressing the following technical challenges of Advance Analytics and Hybrid AI Technology applications: a) Data anonymization b) Data Aggregation and c) Data Analytics as a Service. Indeed, the final outcomes have been focus on widespread the main lessons learned and best practices obtained to foster the knowledge transfer among PPP projects and AI initiatives. The presentation can be checked here: Cross-CPP-EBDVF18-Workshop on AI
Ultimately, Cross-CPP, and the rest of participants, have contributed with the outcomes of the workshop to the BDVA Position Statement Paper, and to extend its content about potential challenges and solutions on each of the core technologies identified for Data4AI.