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Innhold levert av Anton Chuvakin. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Anton Chuvakin eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
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EP192 Confidential + AI: Can AI Keep a Secret?
MP3•Episoder hjem
Manage episode 442813032 series 2892548
Innhold levert av Anton Chuvakin. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Anton Chuvakin eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.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:
204 episoder
MP3•Episoder hjem
Manage episode 442813032 series 2892548
Innhold levert av Anton Chuvakin. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Anton Chuvakin eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.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:
204 episoder
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