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

Schedule: Geospatial sessions

9:00am5:00pm Tuesday, March 14, 2017
Location: LL20 B
Michael Abbott (Stanford University), Christopher Pouliot (Nio), Jennifer Anderson, Renee DiResta (New Knowledge), Coco Krumme (Haven | UC Berkeley), Ryan Baumann (Mapbox), JAVONA WHITE BEAR (IBM), Andre Luckow (BMW Group), Rajiv Paul (Yakit), Evangelos Simoudis (Synapse Partners), Roland Major (Transport for London), Rodrigo Fontecilla (Unisys), Lloyd Palum (Vnomics), Andreas Ribbrock (#zeroG, A Lufthansa Systems Company)
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 challenging the industry to evolve infrastructure for the future. Read more.
10:10am10:25am Wednesday, March 15, 2017
Rajiv Maheswaran (Second Spectrum)
Average rating: ****.
(4.91, 35 ratings)
What happens when machines understand sports? As Rajiv Maheswaran demonstrates, everything changes, from how coaches coach and how players play to how storytellers tells stories and how fans experience the game. Read more.
11:00am11:40am Wednesday, March 15, 2017
Visualization & user experience
Location: 212 A-B Level: Non-technical
Rumman Chowdhury (Accenture)
Average rating: ***..
(3.00, 2 ratings)
In collaboration with the Gray Area Foundation for the Arts and Metis Data Science, Rumman Chowdhury created an interactive data art installation with the purpose of educating San Franciscans about their own city. Rumman discusses the challenges of using historical, predigital-era data with D3 and R to craft a compelling and educational story residing at the intersection of art and technology. Read more.
11:50am12:30pm Wednesday, March 15, 2017
Spark & beyond
Location: 230 A Level: Intermediate
Jasjeet Thind (Zillow)
Average rating: ****.
(4.50, 2 ratings)
Zillow pioneered providing access to unprecedented information about the housing market. Long gone are the days when you needed an agent to get comparables and prior sale and listing data. And with more data, data science has enabled more use cases. Jasjeet Thind explains how Zillow uses Spark and machine learning to transform real estate. Read more.
5:10pm5:50pm Wednesday, March 15, 2017
Big data and the Cloud
Location: LL21 E/F Level: Intermediate
Naghman Waheed (Bayer Crop Science), Martin Mendez-Costabel (Bayer Crop Science)
Average rating: ****.
(4.00, 1 rating)
Recently, the volume of data collected from farmers' fields via sensors, rovers, drones, in-cabin technologies, and other sources has forced Monsanto to rethink its geospatial processing capabilities. Naghman Waheed and Martin Mendez-Costabel explain how Monsanto built a scalable geospatial platform using cloud and open source technologies. Read more.
1:50pm2:30pm Thursday, March 16, 2017
Mike Koelemay (Lockheed Martin)
Average rating: *****
(5.00, 2 ratings)
Sikorsky collects data onboard thousands of helicopters deployed worldwide that is used for fleet management services, engineering analyses, and business intelligence. Mike Koelemay offers an overview of the data platform that Sikorsky has built to manage the ingestion, processing, and serving of this data so that it can be used to rapidly generate information to drive decision making. Read more.