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Jun 13, 2024 38 min

Using edge models to find sensitive data

from Practical AI Hosted by Daniel Whitenack and Chris Benson

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. Sponsors: Neo4j – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. Backblaze – Unlimited cloud backup for Macs, PCs, and businesses for just $99/year. Easily protect business data through a centrally managed admin. Protect all the data on your machines automatically. Easy to deploy across multiple workstations with various deployment options. Featuring: Ramin Mohammadi – GitHub, LinkedIn Daniel Whitenack – Website, GitHub, X Show Notes: Tausight Upcoming Events: Register for upcoming webinars here!

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Using edge models to find sensitive data

0:00 38:28

Chapters

  1. 0:00 Welcome to Practical AI
  2. 0:43 What is PHI?
  3. 4:15 How is data hacked?
  4. 5:38 What happens to hacked data?
  5. 7:16 Sponsor: Neo4j
  6. 8:28 Challenges securing data
  7. 10:54 Dark PHI
  8. 13:52 Building AI in healthcare
  9. 16:31 What is the edge?
  10. 18:44 Sponsor: Backblaze
  11. 20:43 What is the main problem?
  12. 25:45 Biggest issues
  13. 27:49 Balancing constraints
  14. 30:22 Models moving forward
  15. 32:48 Success stories
  16. 35:22 Exciting things to come
  17. 37:40 Outro

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This episode was published on June 13, 2024.

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