Presentation: The Infrastructure Challenge Behind Production AI

Engineering teams are shifting their focus from model development to the underlying database infrastructure required to support production-scale artificial intelligence. Experts note that while training models has become standardized, maintaining reliable data pipelines under high constant pressure remains a significant bottleneck. This transition highlights a growing industry trend where architectural design, rather than model performance alone, increasingly determines whether AI systems can operate without frequent, catastrophic outages.