Munich Datageeks - Feb 2015 Edition

PLEASE NOTE:

As already known from the last meetup, we need to deliver a list of attendees to the gate keeper. So please be fair and if you cannot come to the Meetup, free the space for somebody else! At 6pm, we will fill up open space with people from the wait list.

New Year, new Meetup! This time, Hubert Burda Media will sponsor the event. Details about speakers will follow as soon as possible.

Format:

• Greetings from Hubert Burda Media
• 2 presentations (each ca. 30-40 min incl. discussion)
• Of course time for networking + food + drinks before, in between and especially after the presentations
• Talks are held in English

The line up:

1.) Ronert Obst and Alexander Kagoshima

Title: Smart Cars of Tomorrow: Real-Time Prediction of Driving Patterns From Sensor Data

Abstract: Intelligent prediction of driving behavior has a wide range of applications. For this session, we will explore a connected car. The architecture used for streaming real time sensor data from a car and the machine learning techniques utilized to predict route and range will be covered. Coming out of this session, you’ll understand how open source technologies can serve as a platform for the IoT.

Bio: Ronert got his MSc in Statistics at Ludwig-Maximilians-Universität in Munich and now works as a Data Scientist at "Pivotal" in Berlin. His focus is on applying algorithms from machine learning and statistics to large data sets. Alex Kagoshima became the first member of Pivotal's EMEA Data Science Team after working for VW and receiving a MSc (Dipl.-Ing.) in Economics and Engineering from TU Berlin. At Volkswagen, he used a novel machine learning approach to analyse and predict malfunctions in their fuel-cell car test fleet. He always enjoys bridging the gap between different fields, as can be seen by his graduate school focus on machine learning with applications to financial time series analysis. Continuing on the same path, Alex developed innovative change-point detection algorithms for wind-turbine control systems by combining ideas from physics, machine learning and statistics. In his spare time, he searches for new ways to analyse soccer with statistical methods and likes to see the German soccer team winning.

2.) Alex Osterloh

Title: Doing Big Data the Google way

Abstract: How can you do Big Data Analysis using products & tools initially invented for solving Google's internal data problems.

Bio: Alex has been with Google for almost 5 years, first helping customers adapt enterprise search and more recently moving customers to Google Cloud Platform (IaaS, PaaS and Big Data). He studied Computer Science at LMU Munich. When he is not chasing his 2 kids, he is flying drones all over the world.