Advancing AI through Data Engineering in Pharmaceuticals
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Revolutionizing Data Engineering in Pharma
This chapter explores the critical evolution of data engineering in the pharmaceutical industry, emphasizing its growing importance in decision-making and operational efficiency. It highlights successful innovations, including a common data model that significantly reduced data preparation time, and the transformative role of AI in automating data management tasks. Additionally, the chapter discusses the necessity for collaborative AI strategies across departments to maximize value from data-driven initiatives.
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