from 16:15 pm to 17:00 pm
In this talk will present the PROTEUS project. PROTEUS is an EU H2020 funded research project to evolve massive online machine learning strategies for predictive analytics and real-time interactive visualization methods – in terms of scalability, usability and effectiveness dealing with extremely large data sets and data streams – into ready to use solutions, and to integrate them into enhanced version of Apache Flink, the EU Big Data platform. PROTEUS project is being carried out by an international consortium of 6 partners including Treelogic (creators of Lambdoop), TU Berlin (creators of Apache Flink) and ArcelorMitall (worlds’s leading steel company).
PROTEUS will contribute to the EU Big Data area by addressing fundamental challenges related to the scalability and responsiveness of analytics capabilities. The requirements are defined by an industrial use case: the prediction of defects in hot strip mill (steelmaking industry); but the outcomes of PROTEUS are flexible and scalable to solve problems in many other domains.
In particular, the project will go beyond the current state of art with specific contributions: i) Real-time Machine Learning for advanced massive stream data analytics; ii) Real-time Hybrid Computation (batch data and data streams); iii) Real-time Interactive Visual Analytics for Big Data; iv) Enhancement of Apache Flink, the EU Big Data platform; and v) Industrial validation of the technology advances in a real industrial use case.
The PROTEUS impact vision is manifold:
During this talk, we will see what are the current limitations and gaps of scalable online machine learning and real-time visual analytics and we will overview the technical approach to address them that we are using in PROTEUS.
TreelogicPhD. Senior Researcher