08.10.15

Beispiel Grundlage EN

25.09.15

Interview with MIT's Michael Brodie from SDS|2015

ZHAW Impact magazine has a fantastic interview with MIT's data-intensive analyiss thought leader Michael Brodie in its 03/2015 issue.

31.07.15

Joint Talk with European Central Bank on “Large-Scale Data-Driven Financial Risk Assessment“ at DW2015

The recent financial crisis revealed the unstable nature of the financial system. The lack of a global standard for financial contract modeling makes comparison of risk exposures between banks almost impossible. Simulation of the cash flows of…

17.07.15

Our journal “Big Data Analytics in a Connected World” (Kurt Stockinger, Frank van Lingen, Marco Valente) was cited by Cisco’s Technology Radar

The Cisco Technology Radar on “Evolution of Data Management and Data Fabric” describes the technological challenges of the Internet of Things (IoT) in manufacturing, which is often considered the forth industrial revolution. The report stresses the…

06.05.15

Datalab cordially welcomes two new members

We are very proud to announce two new member institutes within Datalab: The Institute of Applied Simulation, ZHAW School of Life Sciences and Facility Management The Institute of Applied Mathematics and Physics, ZHAW School of Engineering With…

13.04.15

CTI Funding for DaCoMo and PANOPTES Projects Granted

Two project proposals in Machine Learning received a positive (conditional) funding decision from CTI in March 2015. The overall grant volume for Datalab members exceeds 675'000 CHF.

13.04.15

SASLab project finished successfully

With the completion of the SAS Lab project in January 2015, ZHAW Datalab now owns a uniquely easy-to-use service to provide Data Science students with access to educational servers running SAS software.

07.01.15

Toward Automatic Data Curation for Open Data

A report on our ongoing research project SODES has just been published in ERCIM News 100, 01/2015. It describes the blueprint of an automatic data curation system on the web that helps reducing data munging efforts (~80% of a data scientist's job) by…