- 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.
- 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.).
- 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.
- 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
- Platform / Framework
- Spiros Mouzakitis
BigDataOcean Platform
BigDataOcean brings a digital revolution the maritime industry by creating a large maritime big data infrastructure that enables collaborative, data-driven intelligence.