The landscape of artificial intelligence application development has evolved dramatically, with .NET emerging as a preferred platform for building scalable, enterprise-grade AI solutions. Modern organizations seeking robust ASP.NET development services are increasingly focused on implementing sophisticated AI architecture patterns that can handle diverse workload requirements while maintaining optimal performance and scalability. Understanding these architectural approaches is crucial for developers and architects who want to build intelligent applications that can adapt to changing business needs and scale effectively. Design Patterns for AI Workloads: Batch vs Real-Time Processing The choice between batch and real-time processing fundamentally shapes the architecture of AI applications, with each approach offering distinct advantages for different use cases and business requirements. Batch Processing Architecture Patterns: • ETL Pipeline Pattern : Extract, Transform, Load workfl...