Day 1 – Wednesday, May 22nd

  Research Track
Room 012
Industry Track
Room 013
8:00 Registration (Foyer)
9:00 Room 013
Opening and Welcome
9:15
Room 013
Keynote
Josef Waltl
(Amazon Web Services): From Data to Value in Industrial Use Cases
10:00 Room 013
Keynote
Bodo Hoppe
 (IBM Germany): What Lies Ahead of Us? IBM’s View on Technology Trends
10:45  Break
11:00

Room 012

Data Analytics | Complexity

Chair: Lőrinc Thurnay

  • 11:00 Jad Rayes (George Mason University): Exploring Insider Trading Within Hypernetworks
  • 11:30 Abdel Aziz Taha (Research Studios Austria): Chance Influence in Datasets With Large Number of Features

Room 013

Market & Trends

Host: Michael Ruzicka / Axel Straschil

  • 11:00 Guido Harucksteiner (Skidata AG): Innovation & Trends with Special Regard to a FRUGAL Approach and Emerging Markets
  • 11:30 Robert Stubenrauch (Business Upper Austria): From Industry 4.0 to Industrial Data - Accompanying Corporate Networks Through the Digital Age
12:00 Lunch
13:15

 

Room 013
Keynote
Peter Parycek (Danube University Krems): Data-Driven Policy-Making

14:00

Room 013
Keynote
Christian Blakely (PricewaterhouseCoopers Zurich): Real-Time Learning and Prediction in (Un)structured Data

14:45

Coffee Break

15:30

Room 012

Data Analytics | NLP and Semantics

Chair: Andreas Unterweger

  • 15:30 Hakkı Yağız ERDİNÇ (DONANIM HABER ELEKTR.YAY.LTD.ŞTİ.): Combining Lexical and Semantic Similarity Methods for News Article Matching
  • 16:00 Martin Schnöll (Fact AI GmbH): The Effectiveness of the Max Entropy Classifier for Feature Selection
  • 16:30 Lőrinc Thurnay (Danube University Krems): Impact of Anonymization on Sentiment Analysis of Twitter Postings

Room 013

Energy

Host: Michael Ruzicka / Axel Straschil

  • 15:30 David Steidl, Daniel Wagner (Verbund AG):
    EDA & Anomaly Detection
  • 16:15 Norbert Walchhofer (Cognify KG), Stefanie Kritzner (Salzburg AG): No Space for Gaps - Forecasting Challenges in the Control Energy Market
 17:00 Closing
19:00
-
22:30
Conference Dinner: Mozart Dinner Concert
(only if separately booked in advance)