We talked about:

• About Anna and METRO
• Anna’s background
• The importance of a technical background for data product owners
• What are product owners?
• Product owners vs product managers
• Anna’s work on recommender systems at METRO
• Expanding the data team
• Types of algorithms used for recommender systems
• What kind of knowledge and skills data product owners need to have
• Problems and ideas should come from the business
• How Anna handles all her responsibilities
• The process for starting work on new domains
• Product portfolio management
• ProductTank and Anna’s role in it
• Anna’s resource recommendations

Links:

• Data Science for Business Book: https://www.amazon.de/-/en/Foster-Provost/dp/1449361323/ref=sr_1_1?keywords=data+science+for+business&qid=1666404807&qu=eyJxc2MiOiIxLjg3IiwicXNhIjoiMS41MiIsInFzcCI6IjEuNDYifQ%3D%3D&sr=8-1
• Article on Data Science Products: https://www.linkedin.com/pulse/way-create-data-science-products-lessons-learnt-anna-hannemann-phd/

ML Zoomcamp: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp

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