Como a EMS organiza dados para pesquisar novos medicamentos com Databricks
Description
Na EMS, o volume de dados e as soluções em silos dificultavam a consolidação das informações. Neste vídeo, a empresa conta como centralizou dados com a Databricks e conectou áreas de negócio e pesquisa em um mesh federado. Na pesquisa de novos peptídeos, pesquisadores avaliam insights dos dados com IA para planejar o experimento seguinte. Segundo a EMS, a organização dos dados reduziu o tempo de trabalho de 1 ano e 8 meses para 3 meses. • O volume de dados e as soluções em silos dificultavam a consolidação das informações na EMS. • A EMS centralizou dados com a Databricks para melhorar as informações usadas nas decisões das áreas de negócio. • Um mesh federado e harmonizado conecta áreas como controladoria financeira, drug discovery e comercial. • Na pesquisa de novos peptídeos, pesquisadores avaliam insights dos dados com IA para planejar o experimento seguinte. • Segundo a EMS, a organização dos dados reduziu o tempo de trabalho de 1 ano e 8 meses para 3 meses. Produtos Databricks • Lakebase: Lakebase é um mecanismo de banco de dados transacional totalmente gerenciado, compatível com Postgres e voltado a desenvolvedores e agentes de IA. Explore Lakebase na Databricks Platform: …
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