How do you make data accountable? With an AI model.

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?
robert@aipod.de or peter@aipod.de