As enterprises accelerate their adoption of AI, a critical challenge emerges: how to move from static post processing to AI systems that adapt and act continuously in real time. Combining data, context and behavior is essential for enterprises seeking competitive advantage through automation, personalization and operational efficiency. From fraud detection to supply chain optimization and intelligent customer engagement, enterprises will require low-latency data platforms with rapid ingestion, instant complex inference and real-time feedback loops to build adaptive AI solutions.