The Evolution of Data Engineering in AI

This chapter explores the transition from traditional data processing methods to AI-driven analysis of unstructured and multimodal data. It highlights the need for advanced tools that can efficiently handle intensive workloads while unlocking the hidden value present in diverse data types. The discussion reflects on experiences shared at the Ray Summit, addressing the challenges enterprises face as they integrate AI technologies into their operations.