Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK

Schedule: IoT sessions

9:0017:00 Tuesday, 23 May 2017
Location: London Suite 2/3
Angie Ma (Faculty), Ben Lorica (O'Reilly Media), Ira Cohen (Anodot), Yingsong Zhang (ASI Data Science), Ali Hürriyetoglu (Statistics Netherlands), Nelleke Oostdijk (Radboud University), Robin Senge (inovex GmbH), Mathew Salvaris (Microsoft), Miguel Gonzalez-Fierro (Microsoft), Amitai Armon (Intel), Yahav Shadmi (Intel), Kay Brodersen (Google), Ding Ding (Intel), Alan Mosca (nPlan | Birkbeck, University of London), Eduard Vazquez (Cortexica Vision Systems), Aida Mehonic (The Alan Turing Institute), David Barber (UCL)
A full day of hardcore data science, exploring emerging topics and new areas of study made possible by vast troves of raw data and cutting-edge architectures for analyzing and exploring information. Along the way, leading data science practitioners teach new techniques and technologies to add to your data science toolbox. Read more.
17:2518:05 Wednesday, 24 May 2017
Level: Beginner
Dr.-Ing. Michael Nolting (Volkswagen Commercial Vehicles)
Average rating: *....
(1.67, 6 ratings)
It is nearly impossible to sample enough training data initially to prevent autonomous driving accidents on the road, as has been sadly proven by Tesla’s autopilot. Michael Nolting explains that to overcome this problem, a real-time system has to be created to detect dangerous runtime situations in real time, a process much like website monitoring. Read more.
16:3517:15 Thursday, 25 May 2017
Level: Intermediate
Mads Ingwar (Think Big), Eliano Marques (Think Big)
Average rating: ****.
(4.50, 2 ratings)
Eliano Marques and Mads Ingwar share a case study on how to leverage data science to plan ship engine maintenance by warning about potential piston ring failure. Read more.