• 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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  • 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.

[field_contact_email]
  • Platform / Framework
  • ATB – Institut für angewandte Systemtechnik Bremen GmbH

Cross-CPP - A single point of access to multiple data streams

Key motivation of Cross-CPP project is to give cross-sectorial industries access to the great spectrum of sensor data coming from products from various industrial sectors (vehicles, smart home devices, etc.).

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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
  • University Milano Bicocca - UNIMIB

EW_Shopp – Toolkit for Weather/Event-based Data Enrichment and Analytics

The EW-Shopp toolkit aims at helping companies operating in eCommerce, Retail and Marketing industries improve their efficiency and competitiveness by supporting weather and event-based integration and analytics of data collected by companies during the shopper’s journey, which t

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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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  • Component / Service / App
  • TietoEvry

euBusinessGraph – CRM (Credit Risk Model) Service

The CRM (Credit Risk Model) service offers enriched data using machine learning models to customers based on data from the euBusinessGraph.

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  • Component / Service / App
  • University of Milan-Bicocca

ASIA

ASIA (the name stands for Assisted Semantic Interpretation and Annotation of tables) is a table-annotation tool primarily designed to use semantic approaches for the enrichment of tabular data with new information, possibly comi

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