How do we apply the principles of lean to data science and data engineering? We discuss this broadly into using AI and machine learning more generally.

This is a topic that we had discussed over the summer and wanted to come back to six months later because so much has changed and transformed in the industry. What does agile lean process control look like in an infrastructure automation platform? How can we make these very difficult and challenging components of data and data management, more agile, more lean?

I think you will get a lot out of this conversation considering our current hypercharged AI ml and LM environment.

Transcript: https://otter.ai/u/1ZuALgSXcPw-bIf2GOumDFZH0UU?utm_source=copy_url
DALL-E Prompt: please create a picture of a very large truck stuck under a low bridge. please label the truck as ai and the bridge as lean

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