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Explore how to augment existing real-time architectures in this 57-minute AWS Events webinar that presents a practical blueprint blending event streaming, lakehouse storage, traditional ML, and AI agents. Learn to build a centralized decision engine that can process and respond to data in real-time while maintaining scalability and reliability. Discover techniques for designing scalable agent orchestration systems that can coordinate multiple AI agents working together on complex tasks. Master the integration of human oversight mechanisms to ensure AI agents operate within appropriate boundaries and can escalate decisions when necessary. Gain insights into architectural patterns that combine streaming data processing with modern lakehouse storage solutions to support both traditional machine learning workflows and advanced AI agent capabilities. Understand how to create robust data pipelines that can feed real-time information to AI agents while maintaining data quality and consistency across your entire system.
