AI, Data Engineering, and the Modern Data Stack

In this panel discussion, Tristan Handy, Jennifer Li, and Yoko Li explore the impact of AI on data analytics and data engineering, the evolution of the modern data stack, and the lessons data engineers can learn from software engineers. They discuss the potential for AI to automate data engineering tasks, the importance of human involvement in data analysis, and the challenges of building reusable ecosystems in data. The conversation also covers the shift from OLTP to OLAP databases and the recent acquisitions and product announcements in the data infrastructure market, highlighting the trend towards consolidation and the integration of operational and analytical workloads.