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This episode explains how the role of the SQL analyst is evolving in healthcare, highlighting their foundational responsibility for data quality, transparency, and integrity in the age of AI and machine learning. It covers the risks of relying on opaque “black box” vendor and AI systems, the strategic importance of building governed data architectures like feature stores, and the need for analysts to upskill with Python to become analytics engineers and enable advanced, trustworthy analytics across the organization
By Dan SarmientoThis episode explains how the role of the SQL analyst is evolving in healthcare, highlighting their foundational responsibility for data quality, transparency, and integrity in the age of AI and machine learning. It covers the risks of relying on opaque “black box” vendor and AI systems, the strategic importance of building governed data architectures like feature stores, and the need for analysts to upskill with Python to become analytics engineers and enable advanced, trustworthy analytics across the organization