Data volume continues to increase and so is the need for large number of data workers to derive insights from data. This puts pressure on the data teams as well as requires scalable data infrastructure that can be programmed easily, even by low-code developers, and operated seamlessly at scale without active intervention of data operators. This talk discusses the key challenges, and talks about new innovations using GenAI and ML that help address these challenges, helping enterprises to accelerate their business using data analysis efficiently.