
#110 Behind the Scenes of Transamerica’s Data Transformation
DataFramed
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Navigating Data Transformation Challenges
This chapter explores the collaborative effort required for successful data transformation within organizations, emphasizing the roles of leadership, IT, and data science teams. It discusses the complexities of transitioning data to the cloud, the importance of precise requirement gathering, and the need for rigorous testing processes in machine learning applications. Additionally, the chapter highlights the evolving skill set needed for data scientists and strategies for operational resilience amidst ongoing changes.
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