41. Synthetic data for impact: how to innovate in health insurance with Daniela Pak-Graf, Merkur Innovation Lab
Data Democratization: Stories about data, AI and privacy
Obtaining Quality Data for Machine Learning
This chapter discusses the challenges of obtaining quality data for machine learning and data analysis, including the difficulties in predicting results, data preparation and collection, and data sanitization. The hosts share their experience at Merkur Innovation Lab in building their own data warehouse and managing the data value supply chain.
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