Presented By O'Reilly and Cloudera
Make Data Work
31 May–1 June 2016: Training
1 June–3 June 2016: Conference
London, UK

What does your smart car know about you?

Charles Givre (Deutsche Bank)
11:15–11:55 Thursday, 2/06/2016
IoT & real-time
Location: Capital Suite 12 Level: Intermediate
Average rating: ***..
(3.71, 7 ratings)

Prerequisite knowledge

Attendees should have a basic understanding of data formats such as JSON, CSV, etc. and be generally familiar with modern data analytic techniques.


In the last few years, auto makers and technology companies have introduced a variety of devices to connect cars to the Internet and use this connectivity to gather data about the vehicles’ activity, but these connected cars gather a considerable amount of data about their owners’ activities beyond what one might expect. In aggregate and combined with other datasets, this data represents a significant degradation of personal privacy as well as a potential security risk. As auto insurers and local governments start to require this data collection, consumers should be aware of the security risks as well as the potential privacy invasions associated with this unique type of data collection.

In a follow-up to his 2015 session at Strata + Hadoop World NYC, Charles Givre examines data gathered from sensors in automobiles. Charles focuses on what kinds of data cars are gathering and asks critical questions about whether the benefits this data provides outweigh the risks and cost to personal privacy—the inevitable result of this data collection.

Photo of Charles Givre

Charles Givre

Deutsche Bank

Charles Givre is an unapologetic data geek who is passionate about helping others learn about data science and become passionate about it themselves. For the last five years, Charles has worked as a data scientist at Booz Allen Hamilton for various government clients and has done some really neat data science work along the way, hopefully saving US taxpayers some money. Most of his work has been in developing meaningful metrics to assess how well the workforce is performing. For the last two years, Charles has been part of the management team for one of Booze Allen Hamilton’s largest analytic contracts, where he was tasked with increasing the amount of data science on the contract—both in terms of tasks and people.

Even more than the data science work, Charles loves learning about and teaching new technologies and techniques. He has been instrumental in bringing Python scripting to both his government clients and the analytic workforce and has developed a 40-hour Introduction to Analytic Scripting class for that purpose. Additionally, Charles has developed a 60-hour Fundamentals of Data Science class, which he has taught to Booz Allen staff, government civilians, and US military personnel around the world. Charles has a master’s degree from Brandeis University, two bachelor’s degrees from the University of Arizona, and various IT security certifications. In his nonexistent spare time, he plays trombone, spends time with his family, and works on restoring British sports cars.