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

Schedule: Logistics sessions

13:3017:00 Tuesday, 23 May 2017
Location: Capital Suite 15
Allison Nau (Cox Automotive UK), Sriskandarajah Suhothayan (WSO2), Roland Major (Transport for London), Denis C. Bauer (Commonwealth Scientific and Industrial Research Organisation), Alberto Rey (easyJet PLC), Alistair Croll (Solve For Interesting), Wael Elrifai (Pentaho)
In a series of 6 half-hour talks aimed at a business audience, you’ll hear data-themed case studies from household brands and global companies, explaining the challenges they wanted to tackle, the approaches they took, and the benefits—and drawbacks—of their solutions. If you want practical insights about applied data, look no further. Read more.
14:0514:45 Wednesday, 24 May 2017
Sensors, IOT & Industrial Internet
Location: Capital Suite 10/11
Level: Intermediate
Hellmar Becker (Hortonworks), Jorn Eilander (ING)
Average rating: ***..
(3.00, 1 rating)
Hellmar Becker and Jorn Eilander explore the real-time collection and predictive analytics of flight radar data with IoT devices, NiFi, HBase, Spark, and Zeppelin. Read more.
14:5515:35 Wednesday, 24 May 2017
Business case studies
Location: Capital Suite 7
Level: Intermediate
Josef Viehhauser (BMW Group), Dominik Schniertshauer (BMW Group)
Average rating: ****.
(4.60, 5 ratings)
Data-driven solutions based on machine and deep learning are gaining momentum in the automotive industry beyond autonomous driving. Josef Viehhauser and Dominik Schniertshauer explore use cases from the BMW Group where novel machine-learning pipelines (such as those based on XGBoost and convolutional neural nets, for example) support a broad variety of business stakeholders. 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.