For years, the holy grail for data teams was building robust ETL (Extract, Transform, Load) pipelines to feed structured data warehouses. But the rise of Generative AI and Large Language Models (LLMs) has fundamentally changed the game and exposed the limits of traditional ETL...

AI adoption is accelerating across every industry. Executives are under pressure to improve productivity, automate workflows, and unlock new insights through Generative AI. At the same time, there is growing concern that organizations that fail to embrace AI risk falling behind more agile competitors. Yet despite the excitement, many companies struggle to move beyond pilot projects and isolated use cases. The problem usually isn’t the AI model. It’s the foundation beneath it.