Artificial intelligence is changing how data teams work. The speed of AI development demands that data platforms keep up. Many existing data systems were built for different times and challenges. They struggle to support AI’s needs, such as handling large volumes of data quickly, adapting to new types of data, and enabling complex machine learning workflows. This gap can slow down innovation and reduce the value organizations get from AI. This post explores why traditional data platforms fall...