European Internet of Things Analytics Summit


The Big Data & Market Insights Chair is organising the first European IoT Analytics Summit. It is a meeting place for both academia, government and industry to discuss upcoming challenges of IoT data mining, machine learning and data science methods. The event will take place at Télécom ParisTech on November 24th 2016.

The Internet of Things (IoT), the large network of physical devices that extends beyond the typical computer networks, will be creating a huge quantity of data in real time in the next future. The realization of IoT depends on being able to gain the insights hidden in the vast and growing seas of data available. Since current approaches don’t scale to Internet of Things (IoT) volumes, new systems with novel mining techniques are necessary due to the velocity, but also variety, and variability, of such data. There is a great deal of interest in analyzing data from IoT.

The main goal for this year’s event is to bring together top researchers from academia, as well as top data scientists from industry and government with the special focus of evolving infrastructures for IoT.



8:00 Registration

8:45-9:00 Welcome Talk by Yves Poilane, Director of Télécom ParisTech

9:00-10:00 Keynote Talk: Michael May, Siemens Corporate Technology
                 Towards Industrial Machine Intelligence

10:00-10:30 Coffee break

10:30-11:10 Georges Hébrail, EDF R&D
                    Examples of sensor data analytics in a large electric power company

11:10-11:50 Igor Carron, LightOn
                   Sketching Data Streams at the Speed of Light

11:50-12:30 Keun-Woo Lim, Télécom ParisTech
                    Variable neighborhood Prediction of temporal collective profile

12:30-14:00 Lunch

14:00-15:00 Keynote talk: Merouane DEBBAH, Huawei
                    5G: a revolution or an evolution for IoT

15:00-15:30 Coffee Break

15:30-16:10 Madhusudan Giyyarpuram, Orange
                   Data analytics for monitoring IoT infrastructures

16:10-16:50 Jan van Rijn, Leiden University
          Networked Science and IoT Data Streams

16:50-17:40 Tian Guo, EPFL
                    IoT Distributed Time Series Analytics

See the complete program at