Data Movement is the process of transferring data between systems, locations, or applications to ensure it’s available where and when it’s needed, in the right format. This includes methods like ETL/ELT, replication, and synchronization, enabling organizations to break down silos, maintain consistency, and power analytics, AI, and operational workflows. In AI Squared, data movement is achieved through an intuitive pipeline of Sources, Models, Syncs, and Destinations, allowing real-time or near-real-time delivery of AI insights directly into business applications- without heavy engineering – turning raw data into actionable intelligence.