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.
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