Advanced Analytics Infrastructure Dialog, 4th-5th December 2017

When deciding on the  infrastructure for Big Data and Smart Analytics applications IT Managers have to consider return on invest, performance and sustainability as well as current and planned business models


This challenge is not an easy task to master in an environment of many new and innovative vendors, constantly changing management paradigms and hard-to-predict innovations in areas like Big Data, Artificial Intelligence or High Performance Computing.

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Dr. Christian Essling 
Director Analytics

BurdaForward GmbH

Lessons Learned from Building a Big Data Infrastructure at BurdaForward

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Paul Hellwig
Head of Data & Analytics
Cornelsen Publishing House GmbH

The Data Science Revolution in a Traditional Company: How Much Acceleration Can We Handle?

Heinz Korten
Senior Expert Media Technology
Telefónica Germany

Enterprise Mobility and Cognitive Computing – Key Trends for Employee Portals and Knowledge Management

Dr. Tobias Bürger
Head of Big Data Platform & Architecture
BMW Group

BMW's Big Data Architecture

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Alexander Chukovski
Director Data Services
Experteer GmbH

Advanced Analytics Application in the Recruiting Business

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Norbert Kraft
Manager Research & Technology
Nokia Bell Labs

Network Data Intelligence - Big Data Use Cases in the Telco Industry

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Dr. habil. Robert Hable
Head of Research Big Data Analytics
Deggendorf Institute of Technology

Corporate Big Data Analytics: Strategies, Best Practices and Methods

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Christoph Rieder
Head of Process, Application and Infrastructure
Siemens Schweiz AG, Division Rail Systems, Mobility and Logistics

The Role of Data Science and Big Data in Service Management

Dr. Markus Czanta
Director Global Technology Marketing / Business Development
Merck KGaA

Workshop: Big Data - Game Changer in Innovation Management

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Attendees List (Excerpt)



Day 1
Day 2

Types Of Projects to be Discussed (Excerpt)


KTC Königsstein, Ölmühlweg 65, 61462 Königstein, Germany
Phone: +49 6174 295 0

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