Scalable online machine learning
for predictive analytics and
real-time interactive visualization

Project fiche

FULL NAME

Scalable online machine learning for predictive analytics and real-time interactive visualization.

TOPIC

ICT 16 – 2015

Big data - research

BUDGET

3,156,525 €

DURATION

36 month

(Dec. 2015 - Nov. 2018)

PARTNERS

Treelogic

German Research Center for Artificial Intelligence

ArcelorMittal Innovación, Investigación e Inversión.

Bournemouth University

Lambdoop / Novelti

Trilateral Research & Consulting

More info

NEWS & EVENTS

Workshop at the European Big Data Value Forum: Industrial Data Platforms for the Manufacturing domain

Tue 21 Nov 2017

PROTEUS, jointly with other initiatives and project (like our sister project TOREADOR) will be jointly organize a workshop on Industrial Data Platforms for the Manufacturing domain during the European Big Data Value Forum (EBDVF), held in Versailles (Palais des Congrès), France from 21st to 23rd November 2017. The EBDVF results of a joint initiative between the Big Data Value Association (BDVA) and the European Data Forum (EDF), as a key European event for industry professionals, business developers, researchers, and policy makers to discuss the challenges and opportunities of the European data economy and data-driven innovation in Europe.

PROTEUS presented at the LibreCon 2017

Thu 19 Oct 2017

PROTEUS has been presented during LibreCon 2017, the Business and Open Technologies Conference, held in the Edificio CINC at Cidade da Cultura at Santiago de Compostela (Spain), October 19-20.

Presentation at the Flink Forward Berlin 2017

Tue 12 Sep 2017

First review meeting

Wed 05 Jul 2017

PROTEUS has successfully had a first review meeting, evaluating the project’s results in the first half of the project. The meeting was held by the European Commision in Luxembourg, and was a nice opportunity for both partners and reviewers to exchange thoughts and ideas about the future steps in the project implementation.

PROTEUS at the Digital Business World Congress (DES 2017)

Tue 23 May 2017

PROTEUS was presented at the Digital Business World Congress (DES 2017), as part of the session “Boosting operational efficiency”. This session provided a multidisciplinary view in order to understand how new technologies can help to improve operational efficiency, define performance targets and align them with the business vision. PROTEUS was presented by Treelogic as an industrial use case on how big data technologies can support operational efficiency by enabling data-driven decision making in real time.

This project is funded by the European Union (Horizon 2020, Ref: 687691)