Build resilient systems at scale
28–30 October 2015 • Amsterdam, The Netherlands

Romeo Kienzler
Chief Data Scientist & Architect, IBM Zurich

Website

Romeo Kienzler holds a Master Degree in Information Systems with specialisation in Applied Statistics and Bioinformatics from the Swiss Federal Institute of Technology. He works for IBM Zurich as a chief data scientist and architect. His current research focus is on large-scale machine learning on resilient cloud infrastructures based on Apache Spark and Apache Flink on top of Docker Swarm.

Romeo Kienzler is a Member of the IBM Academy of Technology, the IBM Technical Expert Council and the IBM BigData BlackBelts team.

Sessions

14:00–15:30 Wednesday, 28/10/2015
Tutorial
Location: G107
Romeo Kienzler (IBM Zurich)
Average rating: **...
(2.67, 6 ratings)
This tutorial session provides an overview of how to use Apache Spark and predictive modeling to improve your operational analytics, your capability to diagnose real-time service and device problems, and dramatically improve the service experience of your users. Read more.
16:00–17:30 Wednesday, 28/10/2015
Tutorial
Location: G107
Romeo Kienzler (IBM Zurich)
Average rating: ***..
(3.00, 1 rating)
This tutorial session provides an overview of how to use Apache Spark and predictive modeling to improve your operational analytics, your capability to diagnose real-time service and device problems, and dramatically improve the service experience of your users. Read more.