Continuous delivery for machine learning


Getting machine learning applications into production is hard

In modern software development, we’ve grown to expect that new software features and enhancements will simply appear incrementally, on any given day. This applies to consumer applications such as mobile, web, desktop apps as well as modern enterprise software. We’re no longer tolerant of big, disruptive, deployments of software. 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.

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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