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EP192 Confidential + AI: Can AI Keep a Secret?

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Manage episode 442813032 series 2892548
Konten disediakan oleh Anton Chuvakin. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Anton Chuvakin atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.

Guest:

  • Nelly Porter, Director of PM, Cloud Security at Google Cloud

Topics:

  • Share your story and how you ended here doing confidential AI at Google?
  • What problem does confidential compute + AI solve and for what clients?
  • What are some specific real-world applications or use cases where you see the combination of AI and confidential computing making the most significant impact?
  • What about AI in confidential vs AI on prem? Should those people just do on-prem AI instead?
  • Which parts of the AI lifecycle need to be run in Confidential AI: Training? Data curation? Operational workloads?
  • What are the performance (and thus cost) implications of running AI workloads in a confidential computing environment?
  • Are there new risks that arise out of confidential AI?

Resources:

  continue reading

204 episode

Artwork
iconBagikan
 
Manage episode 442813032 series 2892548
Konten disediakan oleh Anton Chuvakin. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Anton Chuvakin atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.

Guest:

  • Nelly Porter, Director of PM, Cloud Security at Google Cloud

Topics:

  • Share your story and how you ended here doing confidential AI at Google?
  • What problem does confidential compute + AI solve and for what clients?
  • What are some specific real-world applications or use cases where you see the combination of AI and confidential computing making the most significant impact?
  • What about AI in confidential vs AI on prem? Should those people just do on-prem AI instead?
  • Which parts of the AI lifecycle need to be run in Confidential AI: Training? Data curation? Operational workloads?
  • What are the performance (and thus cost) implications of running AI workloads in a confidential computing environment?
  • Are there new risks that arise out of confidential AI?

Resources:

  continue reading

204 episode

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