Atieno Ouma - Synthetic Data for Localized Solutions | PyData Amsterdam 2024

Data scientists often encounter challenges related to sparse, privatized, or low-quality data. This talk will explore how synthetic data is changing problem-solving in markets with data scarcity, drawing from my experience in the African market, particularly in Kenya.
I will demonstrate how synthetic data has been utilized to develop models for proactive healthcare solutions.
The methodologies and lessons learned from these applications provide valuable insights that could inspire approaches in other markets, including Europe.

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