Business Analytics and Big Data tools have recently emerged as a major (perhaps the main) driver for innovation in business and industry. Many firms are exploring the opportunities of these new technologies to gain a competitive advantage and many businesses are adding product features built on predictive insights.
Today, the descriptive, diagnostics and predictive layers of Analytics provides insights thanks to scalable machine learning algorithms and execution middlewares.
However, at the forefront of the domain, specialists, expecting the coming transition to data streams, start to worry on a big data deluge, and the difficulty to analyse insights. Visualization has its limits which seem hard to overcome, and we believe that this new situation represents an opportunity for a domain (CLP/CP) built from high level declarative languages.
The goal of this workshop is to increase awareness within the CP community of the previous opportunity, and ideally present concrete future directions for research and applications. The workshop will feature invited talks by leading experts in this domain, as well as an interactive panel discussion.
|1:30pm - 2:00pm||
Role of Analytics at IBM (slides)Jean-François Puget (Chief architect, IBM Analytics Solutions, IBM)
|2:00pm - 2:30pm||
Decision Analytics and the Insight CentreBarry O'Sullivan (Director, Insight Centre for Data Analytics; Professor, University College Cork)
|2:30pm - 3:00pm||
Machine Learning and Data Mining (slides)Luc De Raedt (Professor, Katholieke Universiteit Leuven)
|3:00pm - 3:30pm||Coffee break|
|3:30pm - 4:00pm||
Large-scale Data ApplicationsPascal Van Hentenryck (Professor, University of Michigan)
|4:00pm - 4:30pm||
Analytics in Retail (slides)Louis-Martin Rousseau (Scientific Advisor, JDA Labs; Professor, École Polytechnique de Montréal)
|4:30pm - 5:00pm||
Towards Declarative Scripting: Combining CP and Analytics (slides)Hassan Ait-Kaci (Professor, Université Claude Bernard Lyon 1)
|5:00pm - 5:30pm||