Architecting for AI Success

Effective AI system design requires adaptability, discoverability, and resilience in today's dynamic environments. This webinar explores cutting-edge strategies for architecting AI systems using distributed systems principles, enabling them to thrive in shifting requirements and operational conditions. The presentation will cover three key areas of focus: (1) designing systems for continuous evolution through modular architectures and hybrid agent approaches; (2) enhancing discoverability and adoption through context-aware interfaces and explainable AI patterns; and (3) building distributed resilience using strategies such as redundant microservices, failure domain isolation, and automated recovery cascades. By applying these principles, organizations can develop AI systems that are not just resilient but also proactive and adaptable to changing needs.