Data Democratization: Stories about data, AI and privacy

19. How to implement data privacy? A conversation with Klaudius Kalcher, cofounder and chief data scientist of MOSTLY AI

Nov 4, 2021

01:07:53

Highlights

AI Chapters

Episode notes

The Passion for Privacy

02:38

How to Protect Your Data With Synthetic Data

03:33

The Privacy of Symthatic Data

02:05

Introduction

3min

What's the Story Behind the Company?

3min

How Data Sharing Boosted My Researches

3min

The Passion for Privacy

3min

Data Democracy - A Practical Problem

2min

Syntatic Data - What's Your Favorite Use Case?

3min

The Privacy of Symthatic Data

2min

Privacy Is an Important Thing for All of Us

3min

How to Identify a Thing With Only Four Data Points

2min

10.

Why Do We Need Synthetic Data in the Legacy a Portfolio?

2min

11.

The Privacy Utility Tradef Is Really Bad

4min

12.

Is All Synthetic Data Automatically Private by Design?

5min

13.

Synthetic Data - What Are the Privacy Threats?

3min

14.

How to Predict a Person's Age and Whether She's Male or Female

2min

15.

Is There a Privacy Leakage?

4min

16.

How to Identify a Six Year Old Single Single Person?

2min

17.

Synthetic Data in the City of Vienna

2min

18.

Generate Synthetic Data With Domain Agnostic Generating

3min

19.

What's Differential Privacy?

2min

20.

The Flaw of Caonanimity

2min

21.

The Limitations of Differential Privacy in Synthetic Data

4min

22.

Is There a Limitation to Differential Privacy?

2min

23.

Is There a Level of Privacy Guarantee?

2min

24.

Synthetic Data and Differential Privacy

3min

25.

Data Democratization Podcast Interview - What Are the Most Important Takeaways?

3min

26.

How to Protect Your Data With Synthetic Data

4min

In this episode, Alexandra Ebert, MOSTLY AI's chief trust officer will be talking to one of the founders and the chief data scientist of MOSTLY AI. If you are looking to get a behind-the-scenes view of how data privacy is implemented in practice, you are in the right place! You won't need a math Ph.D. to finally understand how privacy is measured and what is takes to protect personal data. Klaudius is also a huge fan of the concept of open data and talks about how synthetic data is the way forward for realizing the potential of open data sharing for research and innovation.