Part 2/11:
One common theme among the panelists is the significant shift from manual, brute-force coding to advanced automation across the data lifecycle. Anerban highlights how, a decade ago, data engineering was predominantly manual—requiring manual data ingestion, understanding data structures, and model creation largely based on intuition and manual effort.