PROGRAM

PREDICTIVE ANALYTICS AND FORECASTING

                                                                            Research and Applications

                                                        14 – 15 September 2017, Munich, GERMANY

VENUE
Siemens AG
Corporate Technology
Otto-Hahn-Ring 6
81730 Munich, Germany

ORGANISING COMMITTEE
Ralph Grothmann – Siemens, Munich – Germany (Co-Chair)
Mohsen Hamoudia – Orange, Paris – France (Co-Chair)
Stephn Kolassa – SAP – Switzerland
Roland Martin– SAP – Switzerland

SCIENTIFIC COMMITTEE
Albert Bemmaor – ESSEC Business School, Paris – France
Gaetano Cassini – Politecnico de Milano – Italy
Robert Fildes – Lancaster Centre for Forecasting, Lancaster – UK
Heikki Hämmäinen – Aalto University – Finland
Gary Madden – Curtin University, Perth – Australia
Nigel Meade – Imperial College Business School, London – UK
Jeroen Rombouts – ESSEC Business School, Paris – France

 

                                                               The Workshop’s Schedule

 

Day 1- Thursday, 14 September, 2107

9:15 – 09:30 Opening ceremony of the Workshop: Siemens, International Institute of Forecasters (IIF) and German Operational Research (GOR)
09:30 – 10:00 Data Analytics @ Siemens, by Ralph GROTHMAN

  • Morning session
    Chair: Mohsen HAMOUDIA
    10:00 – 10:50 Forecasting Issues for the New World, by Larry VANSTON

10:50 – 11:20 Coffee break

11:20 – 12:10 Extracting sentiments and their application in forecasting, by Michał CHOJNOWSKI

12:10 – 13:00 Low Power Wireless Solutions for Industry 4.0.: Products, Standardization, Research and Example Deployments, by Thomas WATTEYNE

13:00 – 14:15 Lunch

  • Afternoon session
    Chair: Ralph GROTHMAN
    14:15 – 15:05 Beyond Predictive and Prescriptive Analytics? Delivering value in business forecasting for Virgin Atlantic Cargo and ITV, by Sven CRONE

    15:05 – 15:55 Data Mining, Complex Networks and Predictive Analytics: capturing the impact of Social Capital for Microfinance through Crowdfunding: evidence from the KIVA database by Emanuele GIOVANNETTI

15:55 – 16:25 Coffee break

16:25 – 17:15 Detecting relevant parameter changes with sparse change-point time series models, by Jeroen RAMBOUTS

17:15 – 17:20 Concluding remarks

 

Day 2- Friday, 15 September, 2107

  • Morning session
    Chair: Larry VANSTON
    09:30 – 10:20 The science of data driven predictions, by Hans-Georg ZIMMERMANN and Ralph GROTHMAN

10:20 – 11:10 Patterns of interest in industrial brands: Media uploads to Instagram, by Harald SCHMIDBAUER

11:10 – 11:40 Coffee break

11:40 – 12:40 Round Table: Chair Sven CRONE

12:40 – 13:00 Closing remarks – Conclusions – Farewell

13:00 14:15 Lunch