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The second stage focused on building algorithms and models to predict and simulate intricate biological conditions, accelerate discoveries, reduce risks, and optimize the cost-benefit ratio of technological developments using AI solutions. The team leaned on data scientists and bio scientists for expert support.
Their costs were climbing. SafeGraph needed to control costs, improve developer iteration speed, and improve job reliability. Unstable resource provisioning will not only cause negative impact over engineering efficiency, but it will also increase infrastructure costs due to reruns of the Spark applications.
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