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.
8:45-9:00 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
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
OpenML.org: Networked Science and IoT Data Streams
16:50-17:40 Tian Guo, EPFL
IoT Distributed Time Series Analytics
See the complete program at www.euroiota.org