Most of data science projects never make it to production contributing to an endless Jupyter notebooks graveyard. Is there a secret recipe to overcome the PoC phase succeeding into a real data science product? Enjoy the five lessons learnt to apply onto product management principles as a result of transforming a bunch of scripts into fully automated models productive in 23 countries.
As a Domain Owner for Data Science and Analytics at METRO.digital, Anna drives the story of data and AI within Metro business. In her previous positions, Anna led product teams in areas such as recommender systems and robotics. A combination of software development experience and scientific research in data science builds the basis for Anna’s strong “data-as-a-product” acumen. Next to her main duties, Anna contributes proactively to a range of initiatives focused on empowerment of women in tech.
