Data & AI
What is CD4ML?
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Continuous Delivery for Machine Learning (CD4ML) is the process of applying continuous delivery principles and practices to enable teams to deliver ML-driven products quickly, reliably and responsibly. CD4ML enables implementing and fully automating the process while improving the quality, discipline and speed of delivery.
Success stories with CD4ML
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Financial Services and InsuranceStaying Nimble, delivering transformative fintech at speedLearn more
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AutomotiveAutoscout: Applying Continuous Delivery to Data Science to Drive Car SalesLearn more
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Financial Services and InsuranceArkose Labs: Using agile data science to improve user experienceLearn more
How Can CD4ML Benefit Your Organization?
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Improved cycle time enables faster learning
Automate the process, from experimentation to production deployment to monitoring. This creates a competitive advantage and allows your organization to incorporate learning and feedback faster.
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Remove organizational barriers
Break down the silos between teams and skill sets. This brings alignment between your organizational structures and technology landscape to business outcomes.Ìý
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Improve productivity with platform thinking
Apply platform thinking at the data infrastructure level to enable teams to quickly build and release new machine learning and insight products without reinventing or duplicating efforts.
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Create a robust governance process
Leverage automation and open standards to build a robust data and architecture governance process within the organization. Manage the risks of releasing changes at speed, in a safe and reliable fashion.
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Related content
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WhitepaperGuide to Evaluating MLOps PlatformsView Guide
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WebinarCD4ML Webinar SeriesView recordings
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E-BookHow to get MLOps rightRead more
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ReportTechnology radar: CD4MLView more
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ArticleCD4ML for building an intelligent enterpriseRead more
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BlogGetting smart: Applying continuous delivery to data science to drive car salesRead more