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How Gilead used Amazon Redshift to quickly and cost-effectively load third-party medical claims data

AWS Big Data

Because Gilead is expanding into biologics and large molecule therapies, and has an ambitious goal of launching 10 innovative therapies by 2030, there is heavy emphasis on using data with AI and machine learning (ML) to accelerate the drug discovery pipeline. Loading data is a key process for any analytical system, including Amazon Redshift.

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How to choose the best AI platform

IBM Big Data Hub

trillion to the global economy in 2030, more than the current output of China and India combined.” This unified experience optimizes the process of developing and deploying ML models by streamlining workflows for increased efficiency. Will it be implemented on-premises or hosted using a cloud platform? trillion in value.