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How to deploy your ML models? Listen to Festo's approaches.
Industrial AI Podcast
English - October 25, 2023 22:01 - 20 minutes - 16.9 MBTechnology machine learning maschinenbau industrie künstliche intelligenz industrial ai artificial intelligence data ai podcast siemens Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
So there are lots of books and information and tutorials about how to create a model, how to make all the feature engineering, how to train models, how to evaluate them. But there is quite less information if it comes to the deployment.
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)
[Martin Plank]
(https://www.linkedin.com/in/martin-plank-9246a9203/)
**OUR EVENT IN JANUARY **
https://www.hannovermesse.de/de/rahmenprogramm/special-events/ki-in-der-industrie/
We thank our team:
Barbara, Anne and Simon!
After all the LLM stuff: We talked to Dr. Martin Plank from Festo about a bread and butter topic. He explains us different approaches to deploy your ML model.
Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.
We thank our partner Siemens
[Martin Plank]
(https://www.linkedin.com/in/martin-plank-9246a9203/)
**OUR EVENT IN JANUARY **
https://www.hannovermesse.de/de/rahmenprogramm/special-events/ki-in-der-industrie/
We thank our team:
Barbara, Anne and Simon!