Trends in Composable Data Stacks and Challenges in AI and ML

The chapter delves into trends in composable data stacks, focusing on machine learning and LLM space, highlighting the value of understanding AI and ML. It discusses challenges faced by large organizations in managing data at scale, emphasizing the importance of orchestration, metadata, and data pipelines. The conversation also touches on empowering 'medium code' engineers for productivity and the transformative potential of AI despite challenges in model version control.