Sato,Wider,Windheuser_2019_Continuous-delivery_thoughtworks
As organizations move to become more “data-driven” or “AI-driven”, it’s increasingly important to incorporate data science and data engineering approaches into the software development process to avoid silos that hinder efficient collaboration and alignment. However, this integration also brings new challenges when compared to traditional software development.
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Sato,Wider,Windheuser_2019_Continuous-delivery_thoughtworksare. ThoughtWorks has been a pioneer in Continuous Delivery (CD), a set of principles and practices that improve the throughput of delivering software to production, in a safe and reliable way. <span>As organizations move to become more “data-driven” or “AI-driven”, it’s increasingly important to incorporate data science and data engineering approaches into the software development process to avoid silos that hinder efficient collaboration and alignment. However, this integration also brings new challenges when compared to traditional software development. These include: A higher number of changing artifacts. Not only do we have to manage the software code artifacts but also the data sets, the machine learning models, and the parameters a Summary
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