Artwork

Innhold levert av Avnet Silica. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Avnet Silica 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.
Player FM - Podcast-app
Gå frakoblet med Player FM -appen!

We talk IoT: Generative AI in Industrial Devices: Unleashing the Power of Edge Computing - Episode 56

35:40
 
Del
 

Manage episode 441925387 series 3378840
Innhold levert av Avnet Silica. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Avnet Silica 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.

The AI landscape has rapidly evolved over the last few years, from the hype surrounding large-scale machine learning models to practical applications in industries like automotive, manufacturing, and beyond. But now, the question is: How can the sector harness the power of Generative AI to run efficiently on local devices rather than rely solely on the cloud?

Our guest is Martin Grossen, Lead Solutions and Software at Avnet Silica, who will share his insights on this shift. We’ll explore how localised AI models can be used in industrial applications and what challenges the industry faces. We’ll also discuss the ethics, risks, and costs of deploying AI in industrial environments.

#iot #ai #edge #industrial #wetalkiot

Summary of this week's episode:

02:22 The AI Hype and Industrial Revolution

05:33 Challenges of Running AI on Edge Devices

09:40 Localized AI Models and Industrial Applications

15:45 Security and Ethical Considerations

30:02 Future Trends and Recommendations

Show notes:

Martin Grossen: https://www.linkedin.com/in/martin-grossen-5b7151/

Our episode about the Cyber Resilience Act: https://open.spotify.com/episode/0u8kTeU7gF1kPItaFTLcMp?si=e14a25f5de644e29

About Avnet Silica:

This podcast is brought to you by Avnet Silica—the Engineers of Evolution.

You can connect with us on LinkedIn: https://www.linkedin.com/company/silica-an-avnet-company/. Or find us at www.avnet-silica.com.

  continue reading

60 episoder

Artwork
iconDel
 
Manage episode 441925387 series 3378840
Innhold levert av Avnet Silica. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Avnet Silica 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.

The AI landscape has rapidly evolved over the last few years, from the hype surrounding large-scale machine learning models to practical applications in industries like automotive, manufacturing, and beyond. But now, the question is: How can the sector harness the power of Generative AI to run efficiently on local devices rather than rely solely on the cloud?

Our guest is Martin Grossen, Lead Solutions and Software at Avnet Silica, who will share his insights on this shift. We’ll explore how localised AI models can be used in industrial applications and what challenges the industry faces. We’ll also discuss the ethics, risks, and costs of deploying AI in industrial environments.

#iot #ai #edge #industrial #wetalkiot

Summary of this week's episode:

02:22 The AI Hype and Industrial Revolution

05:33 Challenges of Running AI on Edge Devices

09:40 Localized AI Models and Industrial Applications

15:45 Security and Ethical Considerations

30:02 Future Trends and Recommendations

Show notes:

Martin Grossen: https://www.linkedin.com/in/martin-grossen-5b7151/

Our episode about the Cyber Resilience Act: https://open.spotify.com/episode/0u8kTeU7gF1kPItaFTLcMp?si=e14a25f5de644e29

About Avnet Silica:

This podcast is brought to you by Avnet Silica—the Engineers of Evolution.

You can connect with us on LinkedIn: https://www.linkedin.com/company/silica-an-avnet-company/. Or find us at www.avnet-silica.com.

  continue reading

60 episoder

Alle episoder

×
 
Loading …

Velkommen til Player FM!

Player FM scanner netter for høykvalitets podcaster som du kan nyte nå. Det er den beste podcastappen og fungerer på Android, iPhone og internett. Registrer deg for å synkronisere abonnement på flere enheter.

 

Hurtigreferanseguide

Copyright 2024 | Sitemap | Personvern | Vilkår for bruk | | opphavsrett