Artwork

Inhoud geleverd door SenzaFili. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door SenzaFili of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.
Player FM - Podcast-app
Ga offline met de app Player FM !

VIAVI: The decomposable AI landscape. With Per Kangru and Takai Eddine Kennouche

1:06:50
 
Delen
 

Manage episode 427826923 series 3584677
Inhoud geleverd door SenzaFili. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door SenzaFili of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

AI will change the way we operate telecom networks. But what’s the best way to get there? How should we introduce AI to get the benefits it promises but avoid duplication, conflicts among different AI models, and undesired outcomes? How do we know AI models will deliver what we expect?

In this Sparring Partners, Per Kangru and Takai Eddine Kennouche at VIAVI Solutions shared their AIOps practical experience and vision for integrating AI and ML in network operations in an efficient and streamlined way and preserving the reliability and quality of experience that are non-negotiable.

  • AI will play a role in multiple network functions and use cases. Which contribution should be centralized, and which distributed?
  • What is the role of AIOps, AI testing AI, digital twins, and prompt engineering in making AI succeed?
  • How can operators avoid the AI lock-in? Should they embrace hyperscalers and their big models or develop in-house solutions?

This episode of Sparring Partners is sponsored by VIAVI Solutions

You can watch the video of the Sparring Partners at

https://senzafili.com/viavi-the-decomposable-ai-landscape/

More on Senza Fili at https://senzafili.com

  continue reading

18 afleveringen

Artwork
iconDelen
 
Manage episode 427826923 series 3584677
Inhoud geleverd door SenzaFili. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door SenzaFili of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

AI will change the way we operate telecom networks. But what’s the best way to get there? How should we introduce AI to get the benefits it promises but avoid duplication, conflicts among different AI models, and undesired outcomes? How do we know AI models will deliver what we expect?

In this Sparring Partners, Per Kangru and Takai Eddine Kennouche at VIAVI Solutions shared their AIOps practical experience and vision for integrating AI and ML in network operations in an efficient and streamlined way and preserving the reliability and quality of experience that are non-negotiable.

  • AI will play a role in multiple network functions and use cases. Which contribution should be centralized, and which distributed?
  • What is the role of AIOps, AI testing AI, digital twins, and prompt engineering in making AI succeed?
  • How can operators avoid the AI lock-in? Should they embrace hyperscalers and their big models or develop in-house solutions?

This episode of Sparring Partners is sponsored by VIAVI Solutions

You can watch the video of the Sparring Partners at

https://senzafili.com/viavi-the-decomposable-ai-landscape/

More on Senza Fili at https://senzafili.com

  continue reading

18 afleveringen

Semua episode

×
 
Loading …

Welkom op Player FM!

Player FM scant het web op podcasts van hoge kwaliteit waarvan u nu kunt genieten. Het is de beste podcast-app en werkt op Android, iPhone en internet. Aanmelden om abonnementen op verschillende apparaten te synchroniseren.

 

Korte handleiding