Data engineering remains critical in the AI era because AI models are subject to the same 'garbage in, garbage out' principle as traditional analytics. Clean, well-prepared data is a prerequisite for reliable AI outputs, which is driving increased demand for data engineers who can extract, clean, integrate, and transform data not just for analysts but also for AI systems.
•1m watch time