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Datadog CEO Olivier Pomel on AI Security, Trust, and the Future of Observability

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Manage episode 474590590 series 3585084
Indhold leveret af Tessl. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Tessl eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Join Guy Podjarny as he hosts Olivier Pomel, CEO of Datadog, in a compelling discussion on the evolution of observability and AI's role in modern technology. Olivier offers his expertise on AI-powered applications, the security challenges they face, and the future of AI interactions. This episode provides crucial insights for tech professionals and developers seeking to understand AI's impact on cloud computing and security.

Subscribe to the AI Native Developer podcast for more insights on AI and development!

Watch the episode on YouTube: https://youtu.be/-5N53Xq5DX4

Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh
Ask us questions: [email protected]

  continue reading

Kapitler

1. Episode Highlight: Cloud vs. AI fears (00:00:00)

2. Intro to Olivier Pomel and Datadog's role in observability (00:01:00)

3. Three layers of AI opportunity: infra, apps on models, AI-powered automation (00:04:00)

4. Datadog's AI product suite: Watchdog, Bits AI, Toto (00:07:00)

5. Trust and accuracy: Why false positives kill AI adoption (00:10:41)

6. Human-AI interaction models: Chat, copilots, and agents (00:16:41)

7. Automation in observability: When AI can safely take action (00:18:41)

8. AI security concerns (00:21:41)

9. The importance of building trust while embracing early risks (00:26:41)

10. Building Toto (00:30:41)

11. Observability and the future of software development (00:36:41)

12. Observability in GenAI apps (00:42:41)

13. Expanding into product analytics and primary data (00:47:41)

14. The future UI of observability (00:51:41)

15. The danger of overhyping AI in observability (00:53:41)

16. Building an AI research team, AI progress (00:56:41)

83 episoder

Artwork
iconDel
 
Manage episode 474590590 series 3585084
Indhold leveret af Tessl. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Tessl eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Join Guy Podjarny as he hosts Olivier Pomel, CEO of Datadog, in a compelling discussion on the evolution of observability and AI's role in modern technology. Olivier offers his expertise on AI-powered applications, the security challenges they face, and the future of AI interactions. This episode provides crucial insights for tech professionals and developers seeking to understand AI's impact on cloud computing and security.

Subscribe to the AI Native Developer podcast for more insights on AI and development!

Watch the episode on YouTube: https://youtu.be/-5N53Xq5DX4

Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh
Ask us questions: [email protected]

  continue reading

Kapitler

1. Episode Highlight: Cloud vs. AI fears (00:00:00)

2. Intro to Olivier Pomel and Datadog's role in observability (00:01:00)

3. Three layers of AI opportunity: infra, apps on models, AI-powered automation (00:04:00)

4. Datadog's AI product suite: Watchdog, Bits AI, Toto (00:07:00)

5. Trust and accuracy: Why false positives kill AI adoption (00:10:41)

6. Human-AI interaction models: Chat, copilots, and agents (00:16:41)

7. Automation in observability: When AI can safely take action (00:18:41)

8. AI security concerns (00:21:41)

9. The importance of building trust while embracing early risks (00:26:41)

10. Building Toto (00:30:41)

11. Observability and the future of software development (00:36:41)

12. Observability in GenAI apps (00:42:41)

13. Expanding into product analytics and primary data (00:47:41)

14. The future UI of observability (00:51:41)

15. The danger of overhyping AI in observability (00:53:41)

16. Building an AI research team, AI progress (00:56:41)

83 episoder

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