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This article discusses the challenges faced by enterprises in terms of digital transformation and organizational changes due to the increasing use of AI. It introduces MLOps as a solution to manage the complexity of ML systems and provides a systematic overview of its architectural challenges. The article also presents a use case of a financial institution and its need for a new digital solution to meet banking regulations and improve efficiency. The design process for this solution is also discussed.
