Contributions


Here, you can download the presentations of the speakers in our Industry Track:
(this list will be completed step by step as soon as we got approvals of the speakers)

Klaas Wilhelm Bollhöfer, Chief Evangelist
*um - The unbelievable Machine Company, Berlin & Vienna
The Art of Data Maturity Modeling at Metro Group (28MB)

Albin Gruber, Product Owner Management Information Systems
Wüstenrot Datenservice GmbH, Salzburg, Austria
Data Warehousing@Wüstenrot - Structured Data as Basis for Reporting and Analytics

Tomas Knap, Software Architect & Researcher
Semantic Web Company GmbH, Vienna, Austria
Preparing DBpedia Knowledge Graph using UnifiedViews,
an ETL tool for RDF data

Dmytro Martynenko, Application Engineer
The MathWorks GmbH, Aachen, Germany
Building a Big Engineering Data Analtyics System Using MATLAB

Tamas Molnar, Advanced Analytics Team Leader
Vodafone Group BI, Budapest, Hungary
Reshaping Ticket Based Services Using Process Mining

Fabian Räbiger, Produktmanager waschraumHYGIENE
HAGLEITNER HYGIENE INTERNATIONAL GmbH, Zell am See, Austria
Der intelligente Waschraum 4.0

Eric Rozier, Assistant Professor
Iowa State University, Department of Computer Science, Ames, Iowa, USA
Securing Against Data Integrity Attacks at The World Bank

Stephan Schiffner, Head of Big Data & Advanced Analytics
Markus Breunig, Lead Consultant Big Data & Advanced Analytics
F&F GmbH, Munich, Germany
Data Analysis with Spark – From Raw Data to Insights

Thomas Soboll, Department Head, Product Management Automotive Smart Devices; Digital Innovation Manager
Porsche Informatik GmbH, Salzburg, Austria
Norbert Walchhofer, Digital Solutions
Porsche Austria GmbH & Co OG, Salzburg, Austria
Big Data Applications in Automotive Retail - Lessons Learned

Thomas Thalhammer, Head of IT Hervis, Enterprise Architect
SPAR Business Services GmbH, Salzburg, Austria
Digital Business at SPAR Business Services GmbH

John A. Thompson, Co-Founder and Managing Director
Information Professionals GmbH, Freilassing, Germany
Creating Business Value with an Inter-Company Data Lake