all AI news
Scalable Strategies For Protecting Data Privacy In Your Shared Data Sets
Feb. 6, 2022, 10 p.m. | Tobias Macey
Data Engineering Podcast www.dataengineeringpodcast.com
Summary
There are many dimensions to the work of protecting the privacy of users in our data. When you need to share a data set with other teams, departments, or businesses then it is of utmost importance that you eliminate or obfuscate personal information. In this episode Will Thompson explores the many ways that sensitive data can be leaked, re-identified, or otherwise be at risk, as well as the different strategies that can be employed to mitigate those attack vectors. …
More from www.dataengineeringpodcast.com / Data Engineering Podcast
Making Email Better With AI At Shortwave
4 days, 9 hours ago |
www.dataengineeringpodcast.com
Designing A Non-Relational Database Engine
1 week, 4 days ago |
www.dataengineeringpodcast.com
Reconciling The Data In Your Databases With Datafold
1 month, 1 week ago |
www.dataengineeringpodcast.com
When And How To Conduct An AI Program
1 month, 3 weeks ago |
www.dataengineeringpodcast.com
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Technology Consultant Master Data Management (w/m/d)
@ SAP | Walldorf, DE, 69190
Research Engineer, Computer Vision, Google Research
@ Google | Nairobi, Kenya