Data Analysis

Schedule and location

Wednesday August 19th, 10:15-16:30
Thursday August 20th, 9:15-17:15
Tampere University of Technology, Tietotalo, room TB222

Registration 

Registration is open June 15th - August 12th

Speakers

Dr Kimmo Hätönen, Nokia Oyj, Finland
Dr Arho Virkki, VTT, Finland
Professor Ari Visa, Tampere University of Technology, Finland
Senior Big Data environment architect Dmitry Shostko, MTC
MSc Timo Lehtonen, Solita Oy, Finland
Director of Big Data Solutions, MSc Timo Erkkilä, Quva Oy, Finland
eMBA Ville Tuominen, LeadIn Oy, Finland

Organizer

University Lecturer Timo Aaltonen, Tampere University of Technology, Finland.

Overview

Data analysis is one the hotest topics in ICT. Business intelligence combined with big data require new kind of methods and tools. In this seminar the participants get together to learn and discuss about the issues and solutions related data analysis. The seminar consists of two days: the first one is more academic and the second one is more industrial-oriented.

Detailed Program

Day 1

10:15 Kimmo Hätönen (Nokia): ”More than 20 years with telecommunications network Big Data”
12:00 Lunch
12:45 Arho Virkki (VTT): "Computational Methods for Data Analytics and Decision Support"
14:15 Coffee break
14:30 Ari Visa (TTY): ”Big data – possibilities and restrictions”
16:30 Close

Day 2

09:15 Dmitri Shostko (MTC): ”Big Data orchestration from logical to physical”
10:45 Timo Lehtonen (Solita): ”Case Lehtipiste ”
12:00 Lunch
12:45 Timo Erkkilä (QUVA): ”Cloud-based Architectures for Scalable Predictive Analytics”
14:15 Coffee break
14:30 Ville Tuominen (LeadIn): ”Big data market applications and trends”
16:30 Discussion
17:15 Close

Credit points

Doctoral students participating in the seminar can obtain two credit points. This requires participating on both days and writing a diary of the lectures. Instructions for the assignment will be given at the seminar.

Materials

 

 

Registration fee

This seminar is free-of-charge for Inforte.fi member organization's staff and their PhD students. For others the participation fee is 750 €. The participation fee includes access to the event and the event materials. Lunch and dinner are not included.