Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY

Schedule: Data for good sessions

9:00am5:00pm Tuesday, September 26, 2017
Location: 1E 09
Rose Winterton (Pitney Bowes), Audrey Spencer-Alvarado (Portland Trail Blazers), Amie Elcan (CenturyLink), Sean Power (Repable), Parisa Foster (Play The Future), Nick Selby (CJX, Inc. | Midlothian Police Department), Salema Rice (Allegis Group), Aneesh Karve (Quilt), Derek Ruths (CAI), Kristina Bergman (Integris Software), Natalia Adler (UNICEF HQ), Brandon O'Brien (Expedia, Inc)
In a series of 12 half-hour talks aimed at a business audience, you’ll hear data-themed case studies from household brands and global companies, explaining the challenges they wanted to tackle, the approaches they took, and the benefits—and drawbacks—of their solutions. If you want practical insights about applied data, look no further. Read more.
2:05pm2:45pm Wednesday, September 27, 2017
Julie Lockner (17 Minds Corporation)
Average rating: ****.
(4.00, 1 rating)
How can we empower individuals with special needs to reach their full 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.
2:55pm3:35pm Wednesday, September 27, 2017
Brian Dalessandro (Capital One)
Average rating: ****.
(4.67, 3 ratings)
Zocdoc is an online marketplace that allows easy doctor discovery and instant online booking. However, dealing with healthcare involves many constraints and challenges that render standard approaches to common problems infeasible. Brian Dalessandro surveys the various machine learning problems Zocdoc has faced and shares the data, legal, and ethical constraints that shape its solution space. Read more.
11:20am12:00pm Thursday, September 28, 2017
Law, ethics, governance
Location: 1E 15/16 Level: Beginner
Daniel Goddemeyer (OFFC NYC), Dominikus Baur (Freelance)
Increasing access to our personal data raises profound moral and ethical questions. Daniel Goddemeyer and Dominikus Baur share the findings from Data Futures, an MFA class in which students observed each other through their own data, and demonstrate the results with a live experiment with the audience that showcases some of the effects when personal data becomes accessible. Read more.
1:15pm1:55pm Thursday, September 28, 2017
Big data and the Cloud, Data Engineering & Architecture
Location: 1A 21/22 Level: Intermediate
Andrew Otto (Wikimedia Foundation), Fangjin Yang (Imply)
The Wikimedia Foundation (WMF) is a nonprofit charitable organization. As the parent company of Wikipedia, one of the most visited websites in the world, WMF faces many unique challenges around its ecosystem of editors, readers, and content. Andrew Otto and Fangjin Yang explain how the WMF does analytics and offer an overview of the technology it uses to do so. Read more.