Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK

Schedule: Transportation and Logistics sessions

Add to your personal schedule
14:5515:35 Wednesday, 1 May 2019
Data Engineering and Architecture
Location: Capital Suite 8/9
Mark Grover (Lyft), Deepak Tiwari (Lyft)
Lyft’s data platform is at the heart of the company's business. Decisions from pricing to ETA to business operations rely on Lyft’s data platform. Moreover, it powers the enormous scale and speed at which Lyft operates. Mark Grover and Deepak Tiwari walk you through the choices Lyft made in the development and sustenance of the data platform and along with what lies ahead in the future. Read more.
Add to your personal schedule
14:5515:35 Wednesday, 1 May 2019
Law and Ethics, Strata Business Summit
Location: Capital Suite 10/11
Shailesh Chauhan explains how Uber built its business intelligence platform, detailing why the company took a platform approach rather than adding features in a piecemeal fashion. Read more.
Add to your personal schedule
16:3517:15 Wednesday, 1 May 2019
Data Science, Machine Learning & AI
Location: Capital Suite 14
Divya Choudhary (University of Southern California)
Addresses are the most unorganized textual data. In fact, structuring addresses has almost led to a new stream of NLP itself. Who would've imagined that address text data can be used to develop one of the coolest product features: finding the most precise pickup and drop-off locations for ecommerce, logistics, food delivery, and ride-hailing companies. Divya Choudhary explains. Read more.
Add to your personal schedule
17:2518:05 Wednesday, 1 May 2019
Felix Cheung (Uber)
Did you know that your Uber rides are powered by Apache Spark? Join Felix Cheung to learn how Uber is building its data platform with Apache Spark at enormous scale and discover the unique challenges the company faced and overcame. Read more.
Add to your personal schedule
11:1511:55 Thursday, 2 May 2019
Brandy Freitas (Pitney Bowes)
Data science is an approachable field given the right framing. Often though, practitioners and executives are describing opportunities using completely different languages. Brandy Freitas walks you through developing context and vocabulary around data science topics to help build a culture of data within your organization. Read more.
Add to your personal schedule
11:1511:55 Thursday, 2 May 2019
Data Engineering and Architecture, Expo Hall, Streaming and IoT
Location: Expo Hall 2 (Capital Hall N24)
Thomas Weise (Lyft)
Fast data and stream processing are essential for making Lyft rides a good experience for passengers and drivers. Lyft's systems need to track and react to event streams in real time to update locations, compute routes and estimates, balance prices, and more. Thomas Weise offers an overview of the streaming platform that powers these use cases. Read more.
Add to your personal schedule
12:0512:45 Thursday, 2 May 2019
Data Engineering and Architecture
Location: Capital Suite 8/9
Vaclav Surovec (Deutsche Telekom), Gabor Kotalik (Deutsche Telekom)
Knowledge of customers' location and travel patterns is important for many companies, including German telco service operator Deutsche Telekom. Václav Surovec and Gabor Kotalik explain how a commercial roaming project using Cloudera Hadoop helped the company better analyze the behavior of its customers from 10 countries and provide better predictions and visualizations for management. Read more.
Add to your personal schedule
14:0514:45 Thursday, 2 May 2019
Data Engineering and Architecture
Location: Capital Suite 8/9
Willem Pienaar (GOJEK), Zhi Ling Chen (GOJEK)
Features are key to driving impact with AI at all scales, allowing organizations to dramatically accelerate innovation and time to market. Willem Pienaar and Zhiling Chen explain how GOJEK, Indonesia's first billion-dollar startup, unlocked insights in AI by building a feature store called Feast, and the lessons they learned along the way. Read more.
Add to your personal schedule
14:0514:45 Thursday, 2 May 2019
Data Engineering and Architecture
Location: Capital Suite 10/11
Ravi Suhag (GOJEK)
GOJEK builds products that help millions of Indonesians commute, shop, eat, and pay daily. The data team is responsible for creating resilient and scalable data infrastructure across all of GOJEK’s 18+ products. Ravi Suhag shares lessons learned while realizing this vision. Read more.
Add to your personal schedule
14:5515:35 Thursday, 2 May 2019
Data Science, Machine Learning & AI
Location: Capital Suite 15/16
Christopher Hooi (Land Transport Authority of Singapore)
Christopher Hooi offers an overview of the Fusion Analytics for Public Transport Event Response (FASTER) system, a real-time advanced analytics solution for early warning of potential train incidents. FASTER uses engineering and commuter-centric IoT data sources to activate contingency plans at the earliest possible time and reduce impact to commuters. Read more.
Add to your personal schedule
16:3517:15 Thursday, 2 May 2019
Data Science, Machine Learning & AI
Location: Capital Suite 15/16
Alexandre Hubert (Dataiku)
GRDF helps bring natural gas to nearly 11 million customers everyday. Alexandre Hubert explains how, in partnership with GRDF, Dataiku worked to optimize the manual process of qualifying addresses to visit and ultimately save GRDF time and money. This solution was the culmination of a yearlong adventure in the land of maintenance experts, legacy IT systems, and Agile development. Read more.