Presented By O'Reilly and Cloudera
Make Data Work
Sept 29–Oct 1, 2015 • New York, NY

Why machine learning matters, mining data for performance: Lessons from Formula 1

Shivon Zilis (Bloomberg Beta), Jacomo Corbo (QuantumBlack)
3:30pm–4:00pm Tuesday, 09/29/2015
I+G
Location: 1E 18
Average rating: ***..
(3.80, 5 ratings)

Shivon Zillis, who’s done work mapping the machine learning landscape for Bloomberg, will talk to Jacomo Corba about how his machine learning work to improve Formula 1 engineering team productivity became more generally applicable to help productivity and outcomes in other fields.

Photo of Shivon Zilis

Shivon Zilis

Bloomberg Beta

Shivon Zilis is a venture capitalist and founding member of Bloomberg Beta, where she focuses on early-stage data and machine-intelligence investments. Shivon has led 12 investments since launch. One, Newsle, was acquired by LinkedIn; others include Context Relevant, Alation, and InfluxDB. She recently released a report on the current state of machine intelligence that analyzed thousands of companies and put forward predictions on where the industry is headed. Shivon’s previous experience includes building startups at Bloomberg Ventures, the firm’s incubator, and developing cloud core banking solutions for microfinance institutions at IBM. She is a C100 charter member and was named to Forbes magazine’s 30 under 30 list in venture capital.

Photo of Jacomo Corbo

Jacomo Corbo

QuantumBlack

Jacomo Corbo is the chief scientist for QuantumBlack, a visual analytics firm that helps clients meet the analysis challenges of big data to make better decisions. Corbo is also the Canada Research Chair in Information and Performance Management at the University of Ottawa, and a Wharton Clayright Scholar at the University of Pennsylvania’s Wharton School of Business. His research has been funded by grants from the National Research Council, the Alfred P. Sloan Foundation, the Wharton Mack Center for Technological Innovation, the Wharton Customer Analytics Initiative, as well as by companies such as GE Finance and IBM.

Between January 2006 and June 2008, Corbo served as race strategist and subsequently as chief race strategist for the Renault F1 Team Ltd.

Corbo holds a Ph.D. from the Department of Computer Science at Harvard University, an S.M. in Applied Mathematics from the Harvard Graduate School of Engineering and Applied Sciences, and a B.Eng. in Electrical Engineering from McGill University.