• Component / Service / App
  • Gregorio M. Toral

Optimisation of traffic flow in Berlin

Ciclogreen has developed an analytics and prediction tool that, given the historical data of the traffic flow at a given point in the city, will simulate behaviors that could generate congestion or flow of traffic, public transport, and pedestrians.

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  • Platform / Framework
  • DEEP-Hybrid-DataCloud

DEEPaaS - Deep Learning for everybody

The key concept proposed in the DEEP Hybrid DataCloud project is the need to support intensive computing techniques that require specialized HPC hardware, like GPUs or low-latency interconnects, to explore very large datasets.

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  • COVID-19 Other
  • InnoConnect

Analytical Map of COVID-19 Spread

The Analytical Map of COVID-19 Spread in the Czech Republic is available at https://mapa-koronavirus.innoconnect.net/ (switch to EN in the settings menu at top left). 

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  • Component / Service / App
  • Michael Beigl, KIT

Coronazaehler.de

The coronazaehler.de Web-App is an end user information platform for the current situation in Germany. It contains several analytics and simulations based on several extensive open data from governmental sources. In cooperation with the Smart Data Innovation Lab (SDIL) of the KIT.

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  • Platform / Framework
  • CLASS Consortium

CLASS -Edge an d Cloud Computation: A Highly distributed Software for Big Data Analytics

Current trends towards the use of big data technologies in the context of smart cities suggest the need for developing novel software development ecosystems upon which advanced mobility functionalities can be developed.

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  • Platform / Framework
  • ELASTIC consortium

ELASTIC: A Software Architecture for Extreme-ScaLe Big-Data AnalyticS in Fog CompuTIng ECosystems

Big data technologies are nowadays being integrated in systems that are required to process a vast amount of information from geographically distributed data sources.

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  • Platform / Framework
  • Alessandro Checco

FashionBrain – novel shopping experience

The FashionBrain solution aims at combining data from different sources to support different fashion industry players by predicting upcoming fashion trends from social media as well as providing personalized recommendations and advanced fashion item search to customers.

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  • Component / Service / App
  • Matteo Palmonari

ABSTAT

ABSTAT is an ontology-driven linked data profiling framework that aims to help users in an effortless understanding of the data.

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  • Platform / Framework
  • Ricardo Vitorino

Ubiwhere Urban Platform

Ubiwhere Urban Platform focus on  understanding how external factors (such as the weather, location of points of interest or the time of the year) affect the way people move, by analysing anonymised historical booking data (from public transportation and vehicle sharing systems) and correlating i

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  • Platform / Framework
  • Yury Glikman

AEGIS Data Management and Analytics Platform

The AEGIS platform provides a multi-tenant data management and processing services for big data. The multi-tenancy behaviour allows different users and services to securely and privately access and process their data.

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