Why everyone in the industrial sector should use/try code interpreter maybe for predictive quality.

Why everyone in the industrial sector should use/try code interpreter maybe for predictive quality.

We take a brief look back at our "AI in the Alps" event. Afterwards, Prof. Dr. Marco Huber from Fraunhofer IPA explains to us why he worked with the Code Interpreter all weekend and what the approach could mean for AutoML.
36 Minuten
Podcast
Podcaster
How the industry can benefit from AI technologies and what it takes to do so.

Beschreibung

vor 1 Jahr
Peter and I would like to thank all speakers (Cees Snoek, Sepp
Hochreiter and Marco Huber), all partners (Hannover Messe, Timecho
and IONOS) and all participants of AI in the Alps. It was a
pleasure for us. On the way home it was quickly decided: next year
we will repeat the format: same time, same place. Actually we
wanted to relax a bit the weekend after the event, but then Code
Interpreter came. It is rare that Prof. Dr. Marco Huber is so
enthusiastic about a tool. But the Code Interpreter has done it to
him. The tool is fascinating, but please be careful with the data
you enter. Marco explains his approach, but also what you could do
with it in the near future. Thanks for listening. We welcome
suggestions for topics, criticism and a few stars on Apple, Spotify
and Co. We thank our partner [Siemens
](https://new.siemens.com/global/en/products/automation/topic-areas/artificial-intelligence-in-industry.html)
Do not forget our event AI in the forest together with Hannover
Messe. Our main topics: AutoML and TabPFN with Prof. Dr. Frank
Hutter and his team. Feel free to contact us, if you are interested
robert@aipod.de Our guests: Prof. Dr. Marco Huber
([more](https://www.linkedin.com/in/marco-huber-78a1a151/))

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