Using edge models to find sensitive data (Practical AI #273)

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We’ve all heard about breaches of privacy and leaks of private health information (PHI). For healthcare providers and those storing this data, knowing where all the sensitive data is stored is non-trivial. Ramin, from Tausight, joins us to discuss how they have deploy edge AI models to help company search through billions of records for PHI.

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Featuring:

• Ramin Mohammadi – GitHub, LinkedIn
• Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

• Tausight

Something missing or broken? PRs welcome!

Chapters

1. Welcome to Practical AI (00:00:00)

2. What is PHI? (00:00:43)

3. How is data hacked? (00:04:15)

4. What happens to hacked data? (00:05:39)

5. Sponsor: Neo4j (00:07:16)

6. Challenges securing data (00:08:28)

7. Dark PHI (00:10:54)

8. Building AI in healthcare (00:13:52)

9. What is the edge? (00:16:32)

10. Sponsor: Backblaze (00:18:45)

https://www.backblaze.com/cloud-backup/personal/landing/podcast/practicalai

11. What is the main problem? (00:20:44)

12. Biggest issues (00:25:46)

13. Balancing constraints (00:27:50)

14. Models moving forward (00:30:22)

15. Success stories (00:32:48)

16. Exciting things to come (00:35:22)

17. Outro (00:37:41)