Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK
fausto morales

fausto morales
Data Scientist, Arundo

Website

Fausto Morales is a data scientist at Arundo Analytics, where he works on product development and customer projects. Previously, Fausto worked at ExxonMobil on projects that included environmental remediation, product pricing, and water treatment process modeling. He holds a bachelor’s degree in civil engineering from MIT.

Sessions

10:00–10:30 Tuesday, 22 May 2018
Real-time motorcycle racing optimization
Data science and machine learning
 Location: Capital Suite 2/3 Level: Non-technical
fausto morales (Arundo), Marty Cochrane (Arundo)
Average rating: ****.
(4.67, 3 ratings)
In motorcycle racing, riders make snap decisions that determine outcomes spanning from success to grievous injury. Fausto Morales and Marty Cochrane explain how they use a custom software-based edge agent and machine learning to automate real-time maneuvering decisions in order to limit tire slip during races, thereby mitigating risk and enhancing competitive advantage. Read more.