Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
June Andrews

June Andrews
Principal Data Scientist, GE

Website

June Andrews is a principal data scientist at GE, where she’s building a machine learning platform used for monitoring the health of airplanes and power plants around the world. Previously, she spearheaded the Data Trustworthiness and Signals Program at Pinterest aimed at creating a healthy data ecosystem for machine learning and led efforts at LinkedIn on growth, engagement, and social network analysis to increase economic opportunity for professionals. June holds degrees in applied mathematics, computer science, and electrical engineering from UC Berkeley and Cornell.

Sessions

1:30pm–2:00pm Tuesday, March 26, 2019
From data-driven to data competitive
Executive Briefing and best practices
 Location: 2022
June Andrews (GE)
Average rating: ***..
(3.75, 4 ratings)
Companies have adopted data into their DNA using a variety of methods, including data driven, data enabled, and data informed, but many implementations have fallen short of the promised ROI, the result of a gap between the cost of investing in people and infrastructure and the business value delivered. June Andrews investigates the ROI of using data and shows how to become data competitive. Read more.
5:10pm–5:50pm Wednesday, March 27, 2019
Critical turbine maintenance: Monitoring and diagnosing planes and power plants in real time
Data Engineering & Architecture, Streaming and IoT
 Location: 2006
Secondary topics:  Streaming, realtime analytics, and IoT, Transportation and Logistics
June Andrews (GE), John Rutherford (GE)
Average rating: ****.
(4.50, 2 ratings)
GE produces a third of the world's power and 60% of its airplane engines—a critical portion of the world's infrastructure that requires meticulous monitoring of the hundreds of sensors streaming data from each turbine. June Andrews and John Rutherford explain how GE's monitoring and diagnostics teams released the first real-time ML systems used to determine turbine health into production. Read more.