Making privacy a first-class citizen in data science

Thoughtworks Technology Podcast

Thoughtworks

Careers, Business, 907234, Technology

4.7 • 53 Ratings

🗓️ 15 June 2023

⏱️ 32 minutes

🔗️ Recording | iTunes | RSS

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Summary

A changing regulatory environment has made it more important than ever for organizations to embed privacy in their data infrastructure. Doing so, however, can be complicated — that means data scientists have an vital role to play in ensuring privacy is a key concern from both a technical and commercial perspective.

Thoughtworker and data scientist Katharine Jarmul is eager to help fellow data scientists master privacy principles and techniques. Her new book, Practical Data Privacy, covers everything from the fundamentals of governance and anonymization through to advanced approaches to data privacy like federated learning and encrypted computation.

In this episode of the Technology Podcast, Katharine joins hosts Rebecca Parsons and Birgitta Böckeler to discuss the book and explain why data scientists need to be on the frontline in the fight for privacy.

Find Practical Data Privacy on Amazon: https://www.amazon.com/Practical-Data-Privacy-Enhancing-Security/dp/1098129466

Transcript

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0:00.0	Hello, everyone. My name is Rebecca Parsons, and I'd like to welcome you to another edition of the ThoughtWorks Technology podcast. And I am joined today by one of my co-hosts, Birgitta.
0:21.8	Hi, this is Begita Bukkala.
0:23.5	I'm a technical principle with ThoughtWorks in Berlin, Germany.
0:26.7	And our special guest today is Catherine, who has a new book almost coming out,
0:34.9	getting very close on practical data privacy. So, Catherine, would you
0:40.4	please introduce yourself? Yeah, no problem. Thank you so much for having me. My name is
0:46.6	Catherine Jarmel. I'm a principal data scientist at ThoughtRux Germany. And my focus for the past
0:54.1	five, six years has been on data privacy in the area of machine learning, or what we would now call AI and data science.
1:03.0	And the upcoming book, which I'm excited to talk about, is coming by May, 23, on O'Reilly called Practical Data Privacy.
1:14.9	And I believe the tagline is enhancing privacy and security in data.
1:21.2	So why did you start by telling us a little bit about the book, the approach that you took to the subject and who you're
1:30.0	trying to reach?
1:31.5	Yeah.
1:32.0	So the book in and of itself was, I guess, first conceived by O'Reilly, who gave me a call
1:38.7	because I had run some trainings on data privacy for them.
1:43.5	And I think that definitely what we're seeing in the world of generative AI, but also some of the
1:49.4	trends that we're seeing globally around data protection regulation, we're starting to shift
1:54.5	the amount of interests that O'Reilly was seeing around data privacy as a topic.
2:00.6	They were aware of this this and they were kind of
2:02.6	aware that there's a bit of a gap in their library, which is why they really wanted a text that I was
2:08.3	very, very happy to write, which is for data scientists by data scientists. So really somebody that's
2:16.4	practically kind of doing data scientists work every day,
	...

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