The main objective for IT today is to guarantee high performance services and business continuity.
To achieve these goals, you need to combine at least three fundamental aspects: the right analytical capacity to measure each relevant metric both at the application and at the infrastructural level; timely notifications to intervene quickly and preemptively; and finally, a holistic and shared view that compares all the components through machine learning algorithms.
The NetEye Analytics & Dashboards solution precisely meets these prerequisites. Do not miss this opportunity to discover how you can identify problems proactively through the two days training.
Susanne Greiner is a passionate data scientist holding a Ph.D. in Information and Communications Technology (University of Trento, Italy) with a strong interest in machine learning and optimization. Coming from a background of experimental physics (University of Erlangen, Germany) and computational neuroscience, her special interests are visualization of and information extraction from multi-dimensional data by combining multiple data sources.
Her favorite programming language is Python, especially the scientific packages. In 2015 she decided to join the Research & Development Lab team of Würth Phoenix S.r.l. where she is currently concentrating on the improvement of performance monitoring strategies.