Artificial Intelligence and Machine Learning usage is growing and delivering value for organizations across all industries. However, operationalizing such systems introduces challenges that span your people, processes, technologies, and organizational structures. MLOps is an extension of DevOps, fostering a culture where people work together to imagine, develop, deploy, operate, monitor, and improve ML systems in a continuous way.
Thoughtworks has developed Continuous Delivery for Machine Learning (CD4ML), an approach to implement MLOps that adapts the principles, practices, and tools from Continuous Delivery.
In this series, experts from Thoughtworks share their lessons and experiences applying CD4ML to successfully implement MLOps.