When Machine Learning meets privacy - Episode 5

**The intersection between DataOps and privacy**

DataOps is considered by many as the new era of data management, a set of principles that emphasizes communication, collaboration, integration, and automation of cooperation between the different teams in an organization that have to deal with data: data engineers, data scientists to data analysts. 

But is there any relation between DataOps and data privacy protection? Can organizations leverage DataOps to ensure that their data is privacy compliant?

For this episode we've invited Lars Albertsson founder of Scling and former Data Engineer at Spotify, Lars has been educating organizations on how to get value from data and engineering efficiency!
You can easily find him and reach out on Twitter and LinkedIn.

Don't forget to join the MLOps.Community if you are not yet a member.

Useful links:
What is DataOps - https://www.ibm.com/blogs/journey-to-ai/2019/12/what-is-dataops/
Data engineering reading list - https://www.scling.com/reading-list/
Data engineering courses - https://www.scling.com/courses/