Global enterprises are experiencing prolonged deployment cycles for generative artificial intelligence models, primarily driven by legacy data architecture constraints.
Data Pipeline Inefficiencies
According to recent industry benchmarks, over 60 percent of IT leadership cite fragmented data silos as the primary impediment to operationalizing machine learning workflows.