Abstract: Data science has the potential to make an impact in all operational pipelines. All this information comes in different data types, including structured data, such as SQL database stores (tables of data with columns and rows); unstructured data, such as document files (satellite photos, for example); or streaming data from sensors. Graph learning and graph theory is being used in data science and deep learning. One of the promises of graph learning and deep learning is drug discovery.Summary: Data science and AI are of existential importance to big pharma, and have a growing role in drug discovery and development. References: https://aimed.protheragen.com/data-analysis.html
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