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

Schedule: Sensors, IOT & Industrial Internet sessions

Data collected and generated by things—including the difficulties of storing and analyzing the information; and the challenges of extracting understandable, meaningful insights from the resulting torrent.

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.
11:50am12:30pm Wednesday, March 15, 2017
Location: LL20 D Level: Advanced
Secondary topics:  Architecture, IoT, Streaming
Tim Gasper (Janrain)
Average rating: *****
(5.00, 1 rating)
Food production and preparation have always been labor and capital intensive, but with the internet of things, low-cost sensors, cloud-computing ubiquity, and big data analysis, farmers and chefs are being replaced with connected, big data robots—not just in the field but also in your kitchen. Tim Gasper explores the tech stack, data science techniques, and use cases driving this revolution. Read more.
1:50pm2:30pm Wednesday, March 15, 2017
Location: LL20 D Level: Non-technical
Secondary topics:  Healthcare, IoT
Julie Lockner (17 Minds Corporation)
Average rating: *****
(5.00, 1 rating)
How can we empower individuals with special needs to reach their potential? Julie Lockner offers an overview of a project to develop collaboration applications that use wearable device data to improve the ability to develop the best possible care and education plans. Join in to learn how real-time IoT data analytics are making this possible. Read more.
4:20pm5:00pm Wednesday, March 15, 2017
Location: LL20 D Level: Beginner
Secondary topics:  Architecture, IoT, Manufacturing, Platform, Streaming
Kishore R (GE)
Average rating: ***..
(3.00, 1 rating)
Kishore Reddipalli explores how to stream data at a large scale from the edge to the cloud to the client, detect anomalies, analyze machine data in stream and rest in an industrial world, and optimize the industrial operations by providing real-time insights and recommendations using big data technologies. Read more.
1:50pm2:30pm Thursday, March 16, 2017
Location: 210 D/H Level: Intermediate
Secondary topics:  Data Platform, Geospatial, Logistics
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.