Companies are navigating the complexities of building robust machine learning platforms on the cloud, with a focus on flexibility and governance tailored to their specific processes. The evolution from traditional ML to GenAI is evident, as organizations extend their existing architectures to accommodate new use cases, while still recognizing the value of traditional techniques in solving core problems.
