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

PROTEUS will investigate and develop ready-to-use scalable online machine learning algorithms and interactive visualization techniques for real-timepredictive analytics to deal with extremely large data sets and data streams. Using both the steel industry and the European Apache Flink platform as use cases, PROTEUS will contribute to the big data arena by addressing fundamental challenges around scalability and responsiveness. Trilateral will develop the benchmarks and performance metrics to evaluate the system, including gains for the steel industry use case organisation and European big data capabilities in general. PROTEUS is a three year project that started in Dec 2015.

Client: European Commission, DG Connect


Please contact our team for more information:

Rachel Finn, Practice Manager – Data Science

Rachel Finn Practice Manager