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How do you make data accountable? With an AI model.
Industrial AI Podcast
English - December 07, 2022 23:01 - 19 minutes - 16.1 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
Michael Welsch is a mechanical engineer. His approach makes data accountable. A neural network learns to decompose and reconstruct a company's data lake, which it can only do if it learns to model the inner relationships step by step. The AI software is then capitalized on the company's balance sheet as a proxy for the actual data lake. Welsch presented his idea to some auditors and large accounting firms. They were also puzzled by the approach.
The podcast is growing and we want to keep growing. That's why our German-language podcast is now available in English. We are happy about new listeners.
We thank our new partner [Siemens](https://new.siemens.com/global/en/products/automation/topic-areas/artificial-intelligence-in-industry.html)
Our guest: https://www.linkedin.com/in/michael-welsch-/
Questions? [email protected] or [email protected]
Michael Welsch is a mechanical engineer. His approach makes data accountable. A neural network learns to decompose and reconstruct a company's data lake, which it can only do if it learns to model the inner relationships step by step.
The podcast is growing and we want to keep growing. That's why our German-language podcast is now available in English. We are happy about new listeners.
We thank our new partner Siemens
Our guest: https://www.linkedin.com/in/michael-welsch-/
Questions? [email protected] or [email protected]