Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA

Privacy in the age of machine learning

Ben Lorica (O'Reilly)
9:30am9:40am Wednesday, March 7, 2018
Data science and machine learning
Location: Grand Ballroom 220
Average rating: ****.
(4.00, 8 ratings)

Every few weeks, we read about the consequences of unintended data leaks. As companies collect and analyze more data from users and other sources, security and privacy issues are emerging as important considerations for consumers throughout the world. Adding to the sense of urgency, the EU General Data Protection Regulation (GDPR), “designed to harmonize data privacy laws across Europe,” has an enforcement start date of May 25, 2018.

Ben Lorica shares emerging security best practices for business intelligence, machine learning, and mobile computing products and explores new tools, methods, and products that can help ease the way for companies interested in deploying secure and privacy-preserving analytics.

Photo of Ben Lorica

Ben Lorica


Ben Lorica is the chief data scientist at O’Reilly. Ben has applied business intelligence, data mining, machine learning, and statistical analysis in a variety of settings, including direct marketing, consumer and market research, targeted advertising, text mining, and financial engineering. His background includes stints with an investment management company, internet startups, and financial services.