Part 9/13:
Data governance emerged as a significant concern, particularly given the explosion of data collection and the advent of AI models like large language models (LLMs). The expert highlighted issues surrounding data security, privacy, and lineage.
He observed that many organizations adopt a "hoarding" mentality—dumping vast amounts of data into data lakes or cloud storage without proper cataloging or understanding of source lineage. This results in data swamps—collections of unorganized, opaque datasets—making it difficult to ensure data quality, trustworthiness, and compliance.