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

Schedule: ecommerce sessions

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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.
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11:00am11:40am Wednesday, March 15, 2017
Data science & advanced analytics
Location: 210 C/G Level: Intermediate
Feng Zhu (Clobotics), Valentine Fontama (Microsoft)
Average rating: ****.
(4.71, 7 ratings)
Although deep learning has proved to be very powerful, few results are reported on its application to business-focused problems. Feng Zhu and Val Fontama explore how Microsoft built a deep learning-based churn predictive model and demonstrate how to explain the predictions using LIME—a novel algorithm published in KDD 2016—to make the black box models more transparent and accessible. Read more.
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11:50am12:30pm Wednesday, March 15, 2017
Jure Leskovec (Pinterest)
Average rating: ****.
(4.82, 11 ratings)
Pinterest built a flexible, graph-based system for making recommendations to users in real time. The system uses random walks on a user-and-object graph in order to make personalized recommendations to 100+ million Pinterest users out of a catalog of over a billion items. Jure Leskovec explains how Pinterest built its modern recommendation engine and the lessons learned along the way. Read more.
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1:50pm2:30pm Wednesday, March 15, 2017
Business case studies, Strata Business Summit
Location: 210 D/H Level: Intermediate
Chandan Joarder (Macys.com)
Average rating: ***..
(3.56, 9 ratings)
Chandan Joarder shares a guide to building real-time dashboards in-house using tools such as Kafka, web frameworks, and an in-memory database, utilizing JavaScript and Scala. Along the way, Chandan also discusses the architectural principles used in these dashboards to provide up-to-the-hour business performance metrics and alerts. Read more.
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11:00am11:40am Thursday, March 16, 2017
Platform Security and Cybersecurity
Location: LL21 B Level: Beginner
Yinglian Xie (DataVisor)
How many of your users are really fraudsters waiting to strike? These sleeper cells exist in all online communities. Using data from more than 400M users and 500B events from online services across the world, Yinglian Xie explores sleeper cells, explains sophisticated attack techniques being used to evade detection, and shows how Spark's in-memory big data security analytics can help. Read more.
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1:50pm2:30pm Thursday, March 16, 2017
Data science & advanced analytics
Location: 230 A Level: Intermediate
Michelangelo D'Agostino (ShopRunner), BIll Lattner (Civis Analytics)
Average rating: ****.
(4.00, 2 ratings)
How do we know that an advertisement or promotion truly drives incremental revenue? Michelangelo D'Agostino and Bill Lattner share their experience developing machine-learning techniques for predicting treatment responsiveness from randomized controlled experiments and explore the use of these “persuasion” models at scale in politics, social good, and marketing. Read more.
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2:40pm3:20pm Thursday, March 16, 2017
Eric Colson (Stitch Fix)
Average rating: ****.
(4.36, 14 ratings)
Data scientists blend the skills of statisticians, software engineers, and domain experts to create new roles. Data science isn't merely an amalgam of disciplines but rather a gestalt which synthesizes the ethos of various fields. This merits new thinking when it comes to organization. Eric Colson explores some novel—and often unintuitive—ways to unleash the value of your data science team. Read more.
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2:40pm3:20pm Thursday, March 16, 2017
Gleicon Moraes (luc.id), Arthur Grava (Luizalabs)
Average rating: ****.
(4.00, 3 ratings)
Gleicon Moraes and Arthur Grava share war stories about developing and deploying a cloud-based large-scale recommender system for a top-three Brazilian ecommerce company. The system, which uses Cassandra and graph traversal, led to a more than 15% increase in sales. Read more.
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4:20pm5:00pm Thursday, March 16, 2017
Business case studies, Strata Business Summit
Location: 210 D/H Level: Intermediate
Mahesh Goud T (Ticketmaster)
Average rating: **...
(2.00, 1 rating)
Mahesh Goud shares success stories using Ticketmaster's large-scale contextual bandit platform for SEM, which determines the optimal keyword bids under evolving keyword contexts to meet different business requirements, and explores Ticketmaster's streaming pipeline, consisting of Storm, Kafka, HBase, the ELK Stack, and Spring Boot. Read more.