Welcome to another episode of The Primine Podcast! Today, host Sarah Jenkins sits down with Dr. Rupesh Chandra to explore the complexities of data modernization and how artificial intelligence acts as both an accelerator and a challenge.
Many organizations jump straight into AI without clean data, resulting in hallucinated insights or performance bottle-necks. Dr. Chandra explains why schema conversion, data deduplication, and streaming ingestion pipelines are critical precursors to AI enablement.
We also discuss how enterprise technology leaders can calculate the exact cost-benefit ratio of moving data environments to cloud structures like Snowflake and BigQuery, and why standardizing SQL interfaces preserves vendor flexibility.
