Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA

Data, transportation, and logistics day

9:00am - 5:00pm, Tuesday, 03/14/2017
Strata Business Summit
Location: LL20B

Self-driving cars and ride-hailing services build their businesses atop inexpensive and abundant mapping, powerful algorithms, and real-time data. Every time Google Maps suggests a new route or Uber tells a driver where to wait, these services are using data to make transportation more efficient.

Delivery companies are now using data and machine learning to handle the massive demand of online shopping. What’s more, data is already upending containerization and automating delivery, and delivery drones are appearing on the horizon. As the industrial internet embeds sensors across a range of products and equipment, companies have expanding opportunities to react to service interruptions quickly and access data to develop long-term strategic improvement.

Data, Transportation, and Logistics Day offers a daylong deep-dive into how data science is changing transportation and logistics. We’ll investigate the latest advances in and applications of self-driving vehicles, automated drones, and embedded sensors and explore how new uses of data are requiring more efficiency from existing infrastructure and challenging the industry to evolve infrastructure for the future.

Tuesday, 03/14/2017

7:30am

7:30am–8:15am Tuesday, 03/14/2017
Location: LL Foyer and Executive Concourse
Coffee break (7:30am - 9am) (45m)

9:00am

9:00am–10:00am Tuesday, 03/14/2017
DTL
Location: LL20 B
Michael Abbott (Stanford University), Christopher Pouliot (Nio), Jennifer Anderson
Michael Abbott shares trends Kleiner Perkins Caufield & Byers is seeing in the area of transportation and logistics from an investments perspective and offers direct insights from companies in the sector, looking at how these firms deal with unique data processing challenges. Read more.

10:00am

10:00am–10:30am Tuesday, 03/14/2017
DTL
Location: LL20 B
Evangelos Simoudis (Synapse Partners)
Evangelos Simoudis explores how data generated in and around increasingly autonomous vehicles and by on-demand mobility services will enable the development of new transportation experiences and solutions for a diverse set of industries and government types. Read more.

10:30am

10:30am–11:00am Tuesday, 03/14/2017
Location: Executive Concourse
Morning break sponsored by Google (30m)

11:00am

11:00am–11:30am Tuesday, 03/14/2017
DTL
Location: LL20 B
Renee DiResta (New Knowledge), Coco Krumme (Haven | UC Berkeley)
Data is transforming global trade. Using examples from historical trade and their work at Haven, Renee DiResta and Coco Krumme explore three frictions in logistics and container shipping—price opacity, inefficient markets, and unstructured data—and identify the important ways in which data will change how we price and exchange goods worldwide. Read more.

11:30am

11:30am–12:00pm Tuesday, 03/14/2017
Data-driven business management, DTL, Strata Business Summit
Location: LL20 B Level: Beginner
Secondary topics:  Geospatial, Logistics, Smart cities
Ryan Baumann (Mapbox)
Ryan Baumann explains how Mapbox Cities helps transform transportation and safety using open data, spatial analysis, and Mapbox tools. Read more.

12:00pm

12:00pm–12:30pm Tuesday, 03/14/2017
DTL, Sensors, IOT & Industrial Internet, Strata Business Summit
Location: LL20 B Level: Intermediate
The simultaneous localization and mapping (SLAM) problem is the cutting edge of robotics for autonomous vehicles and a key challenge in both industry and research. Jay White Bear shares a new integrated framework that demonstrates a constrained SLAM using online algorithms to navigate and map in real time using the Turtlebot II. Read more.

12:30pm

12:30pm–1:30pm Tuesday, 03/14/2017
Location: 230 A-C
Lunch (1h)

1:30pm

1:30pm–2:00pm Tuesday, 03/14/2017
Data science & advanced analytics, DTL, Strata Business Summit
Location: LL20 B Level: Intermediate
Secondary topics:  Deep learning
Andre Luckow (BMW Group)
Average rating: *****
(5.00, 1 rating)
Andre Luckow shares best practices for developing and deploying deep learning solutions in the automotive industry and explores different deep learning frameworks, including TensorFlow, Caffe, and Torch, and deep neural network architectures, evaluating their trade-offs in terms of classification performance, training, and inference time. Read more.

2:00pm

2:00pm–2:30pm Tuesday, 03/14/2017
DTL
Location: LL20 B
Roland Major (Transport for London)
Transport for London (TfL) and its partners have been working together on broader integration projects focused on getting the most efficient use out of road networks and public transport. Roland Major explains how TfL brings together a wide range of data from multiple disconnected systems for operational purposes while also making more of them open and available, all in real time. Read more.

2:30pm

2:30pm–3:00pm Tuesday, 03/14/2017
DTL
Location: LL20 B
Rajiv Paul (Yakit)
Content will be shared on stage. Read more.

3:00pm

3:00pm–3:30pm Tuesday, 03/14/2017
Location: Executive Concourse
Afternoon break (30m)

3:30pm

3:30pm–4:00pm Tuesday, 03/14/2017
Business case studies, DTL, Strata Business Summit
Location: LL20 B Level: Beginner
Secondary topics:  Logistics
Rodrigo Fontecilla explains how many of the largest airlines use different classes of machine-learning algorithms to create robust and reusable predictive models to provide a holistic view of operations and provide business value. Read more.

4:00pm

4:00pm–4:30pm Tuesday, 03/14/2017
DTL
Location: LL20 B
Lloyd Palum (Vnomics)
Lloyd Palum explores the importance of identifying the target business value in an IIoT application—a prerequisite to justifying a return on technology investment—and explains how to deliver that value using the concept of a “digital twin.” Read more.

4:30pm

4:30pm–5:00pm Tuesday, 03/14/2017
Data-driven business management, DTL, Strata Business Summit
Location: LL20 B Level: Intermediate
Secondary topics:  Data Platform, ecommerce, Logistics
Andreas Ribbrock (#zeroG, A Lufthansa Systems Company)
The aviation industry is facing a huge pressure in costs as well as a profound disruption in marketing and service. With ticket revenues dropping, increasing customer loyalty is key. Andreas Ribbrock explains how Lufthansa German Airlines uses data science and data-driven decision making to create the next level of digital customer experience along the full customer journey. Read more.